Search for issues and pull requests across GitHub repositories
AI agents call search-issues to retrieve information from GitHub Enterprise MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches and retrieves data about issues and pull requests but does not create, modify, delete, or execute operations. It is a read-only query operation with minimal risk of misuse by an AI agent.
From the tool's definition Tool name 'search-issues' and description 'Search for issues and pull requests across GitHub repositories' indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
Search for issues and pull requests across GitHub repositories. It is categorised as a Read tool in the GitHub Enterprise MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub Enterprise MCP Server MCP server in PolicyLayer and add a rule for search-issues: 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 GitHub Enterprise MCP Server. Nothing to install.
search-issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search-issues 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 search-issues. 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.
search-issues is provided by the GitHub Enterprise MCP Server MCP server (lessinthought/github-enterprice-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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