Microsoft Azure Recommendations API Client
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For Agents
Read, reset, and disable Azure App Service performance and reliability recommendations across subscriptions, hosting environments, and individual sites.
Use for: List the active recommendations on a specific App Service site, Read the recommendation history for an App Service hosting environment, Disable a recommendation that has already been actioned, Reset all recommendations on a subscription
Not supported: Does not change site configuration, scale plans, or remediate issues automatically — use for reading and managing the lifecycle of Microsoft.Web recommendations only.
Jentic publishes the only available OpenAPI specification for Recommendations API Client, keeping it validated and agent-ready. The API exposes the Microsoft.Web Recommendations resource — performance, scaling, and reliability suggestions that Azure App Service generates for sites and hosting environments. It covers reading current and historical recommendations, listing them at subscription, hosting environment, or site scope, and resetting or disabling individual recommendations after they have been actioned.
Install Jentic One Beta
Connect the Recommendations API Client to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Recommendations API Client, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Recommendations API Client API.
List active recommendations across a subscription
Read recommendation history for a specific App Service site or environment
Get a single recommendation by name with its remediation guidance
Disable a recommendation that has been reviewed and accepted
Reset all recommendations on a site, hosting environment, or subscription
Filter recommendations by channel and severity
Use Cases
Patterns agents use Recommendations API Client API for, with concrete tasks.
★ Operational health review
Site reliability teams review Azure App Service recommendations during operational reviews to surface scaling issues, deprecated configurations, and performance regressions. The API lists active recommendations with their severity and guidance so the review board can prioritise remediation work.
List active recommendations for site 'web-prod' in resource group 'web-rg' filtered to high-severity entries
Recommendation lifecycle management
Once a recommendation has been actioned or formally accepted as known, it should not keep firing in dashboards and alerts. The API exposes per-recommendation disable endpoints at site and hosting environment scope, plus a reset endpoint that clears the disable list when policy changes.
Disable the recommendation named 'AlwaysOnEnabled' on site 'web-prod' for 30 days
Hosting environment audit
App Service Environment owners need a view of recommendations across every site running inside their ASE, not just one site. The hosting environment listing endpoints aggregate recommendations and history at ASE scope so platform teams can run an audit across all hosted apps from a single call.
List recommendation history for hosting environment 'ase-prod' for the last 30 days and summarise the top 5 recurring recommendations
Agent-driven remediation
An AI agent fronting a platform engineering portal reads active App Service recommendations, opens an internal ticket for each high-severity one, and disables recommendations once the corresponding fix is deployed. Jentic isolates the AAD client secret so the agent only sees scoped bearer tokens.
List high-severity recommendations across subscription X, open a ticket for each, then disable the corresponding recommendation once the ticket is closed
Key Endpoints
15 endpoints — jentic publishes the only available openapi specification for recommendations api client, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
GET
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations
List recommendations across a subscription
POST
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/reset
Reset recommendations at subscription scope
POST
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/{name}/disable
Disable a subscription-level recommendation
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendations
List recommendations for a hosting environment
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendationHistory
Recommendation history for a hosting environment
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendations
List recommendations for an App Service site
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendationHistory
Recommendation history for a site
GET
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations
List recommendations across a subscription
POST
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/reset
Reset recommendations at subscription scope
POST
/subscriptions/{subscriptionId}/providers/Microsoft.Web/recommendations/{name}/disable
Disable a subscription-level recommendation
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendations
List recommendations for a hosting environment
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{hostingEnvironmentName}/recommendationHistory
Recommendation history for a hosting environment
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendations
List recommendations for an App Service site
GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/sites/{siteName}/recommendationHistory
Recommendation history for a site
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
Azure AD OAuth 2.0 client credentials are stored encrypted in the Jentic vault. Agents receive a scoped bearer token at execute time; client secrets and refresh tokens never reach the agent's context.
Intent-based discovery
Agents search by intent (e.g., 'list azure app service recommendations') and Jentic returns the matching listing operation with subscriptionId, resourceGroupName, and siteName resolved from the spec.
Time to first call
Direct integration with the Microsoft.Web Recommendations API, including AAD setup and $filter handling, typically takes about a day. Through Jentic: under 1 hour to first successful recommendations listing.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Recommendations API Client API through Jentic.
Why is there no official OpenAPI spec for Recommendations API Client?
Microsoft Azure does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Recommendations API Client via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the Azure App Service Recommendations API use?
The API runs through Azure Resource Manager and uses OAuth 2.0 bearer tokens issued by Azure Active Directory under the azure_auth scheme with the user_impersonation scope. Through Jentic, the AAD client secret is held in the encrypted vault and a short-lived access token is supplied at execute time so the secret never appears in the agent's context.
Can I disable a single recommendation without affecting others?
Yes. POST .../recommendations/{name}/disable disables only the named recommendation at the chosen scope (subscription, hosting environment, or site). Other recommendations continue to fire normally, and the disable can be cleared later with the matching reset endpoint.
What are the rate limits for the App Service Recommendations API?
Azure Resource Manager applies subscription-level read and write throttles (around 12,000 reads per hour and 1,200 writes per hour per region per subscription) and returns 429 with a Retry-After header when exceeded. Listing endpoints support the standard $filter query parameter to narrow results.
How do I list recommendations through Jentic?
Search Jentic for 'list azure app service recommendations', load the schema for GET .../sites/{siteName}/recommendations, then execute with subscriptionId, resourceGroupName, and siteName. The pip install jentic Python SDK uses the async search, load, execute pattern.
Is the App Service Recommendations API free?
There is no per-call charge for the management API itself; recommendations are produced as part of the App Service platform and are not separately metered. You pay for the underlying App Service plans and sites.
GET STARTED