ado_approve_pull_request

Aprueba un Pull Request (voto: 10).

Server Mcp Azure soulberto/mcp-azure
Category Write
Risk class Medium
Parameters 00 required

What ado_approve_pull_request does on Mcp Azure

AI agents use ado_approve_pull_request to create or update resources in Mcp Azure — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Azure environment.

Why ado_approve_pull_request needs a policy

Approving a pull request sets a vote/approval status on the PR. This is a reversible write action (approval can be revoked/changed), not destructive or financial. It modifies the state of the PR but does not merge or delete anything.

From the tool's definition Aprueba un Pull Request (voto: 10)

Questions about ado_approve_pull_request

What does the ado_approve_pull_request tool do? +

Aprueba un Pull Request (voto: 10). It is categorised as a Write tool in the Mcp Azure MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ado_approve_pull_request? +

Register the Mcp Azure MCP server in PolicyLayer and add a rule for ado_approve_pull_request: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Azure. Nothing to install.

What risk level is ado_approve_pull_request? +

ado_approve_pull_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ado_approve_pull_request? +

Yes. Add a rate_limit block to the ado_approve_pull_request rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ado_approve_pull_request completely? +

Set action: deny in the PolicyLayer policy for ado_approve_pull_request. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ado_approve_pull_request? +

ado_approve_pull_request is provided by the Mcp Azure MCP server (soulberto/mcp-azure). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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