Low Risk

search_issues

Search for issues and pull requests across GitHub repositories

How to control search_issues ↓

What search_issues does on GitHub MCP Server Plus

AI agents call search_issues to retrieve information from GitHub MCP Server Plus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_issues needs a policy

The tool performs a search operation to retrieve and list existing issues and pull requests. Search operations are read-only with no side effects, no code execution, no data modification, and no irreversible actions. The blast radius of misuse is minimal—an agent querying issues cannot cause damage to repositories or data.

From the tool's definition Tool name is 'search_issues' and description states it 'Search for issues and pull requests across GitHub repositories' — this is a query/retrieval operation with no modification or deletion of data.

Documented attack patterns abuse exactly the kind of access search_issues gives an agent:

How to control search_issues

PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub MCP Server Plus, and nothing reaches the server without passing your rules. This is the rule we recommend for search_issues:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_issues": {}
  }
}

search_issues is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GitHub MCP Server Plus — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_issues

What does the search_issues tool do? +

Search for issues and pull requests across GitHub repositories. It is categorised as a Read tool in the GitHub MCP Server Plus MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_issues? +

Register the GitHub MCP Server Plus 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 MCP Server Plus. Nothing to install.

What risk level is search_issues? +

search_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_issues? +

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.

How do I block search_issues completely? +

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.

What MCP server provides search_issues? +

search_issues is provided by the GitHub MCP Server Plus MCP server (phialsbasement/mcp-github-server-plus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitHub MCP Server Plus tool call.

Start from GitHub MCP Server Plus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

18 GitHub MCP Server Plus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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