⚠️ CRITICAL: This tool returns an ANALYSIS PROMPT for YOU (Claude) to generate a description, NOT a final description. OUTPUT: You receive comprehensive context (project type, commits, files, diff sample) formatted as a detailed prompt with specific instructions. YOUR JOB: Analyze that context an...
AI agents use generate_pr_description to create or update resources in Pr — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pr environment.
An AI agent can call generate_pr_description faster than any human can review — one bad instruction and it creates or modifies resources in Pr by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
⚠️ CRITICAL: This tool returns an ANALYSIS PROMPT for YOU (Claude) to generate a description, NOT a final description. OUTPUT: You receive comprehensive context (project type, commits, files, diff sample) formatted as a detailed prompt with specific instructions. YOUR JOB: Analyze that context and generate an intelligent, well-structured PR description. The prompt includes format requirements (What/Why/How/Impact sections), language preferences (FR/EN), and style guidelines. YOU must read it, understand the changes, and write a clear description ready for GitHub. DO NOT return the prompt - generate YOUR description. Use when creating PR or when user asks for PR description. The generated description should then be passed to create_pr or create_pr_complete tools. It is categorised as a Write tool in the Pr MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pr MCP server in PolicyLayer and add a rule for generate_pr_description: 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 Pr. Nothing to install.
generate_pr_description is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_pr_description 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.
Set action: deny in the PolicyLayer policy for generate_pr_description. 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.
generate_pr_description is provided by the Pr MCP server (valentin-harrang/pr-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.