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open_pull_request

Turn a ticket

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/open-pull-request.md

What open_pull_request does on FeatureBoard

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

Why open_pull_request is rated Medium

Opening a pull request creates a new, reversible entity in a repository. This is a Write operation (creates data) rather than Execute (which would require running arbitrary code) or Destructive (PRs can be closed/reverted). The incomplete description lowers confidence slightly, but the tool name and server context (project board for shipping tickets) support Write classification.

From the tool's definition Tool name 'open_pull_request' indicates creation of a pull request. Description 'Turn a ticket' is incomplete but contextually suggests converting/transforming a ticket into a PR, which creates a new entity in version control.

Questions about open_pull_request

What does the open_pull_request tool do? +

Turn a ticket. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on open_pull_request? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for open_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 FeatureBoard. Nothing to install.

What risk level is open_pull_request? +

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

Can I rate-limit open_pull_request? +

Yes. Add a rate_limit block to the open_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 open_pull_request completely? +

Set action: deny in the PolicyLayer policy for open_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 open_pull_request? +

open_pull_request is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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