close_repository · Trailmark MCP Server MCP: Risk & Policy

WHAT IT DOES

What close_repository does on Trailmark MCP Server

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

WHY IT NEEDS A POLICY

Why close_repository needs a policy

This tool modifies system state by closing a session, which is a reversible action (the repository can be reopened). It does not delete data permanently, execute code, or perform financial operations. The impact is primarily on session management rather than data integrity.

From the tool's definition close_repository closes an active repository session, which modifies the state of the application by terminating a connection and potentially clearing session data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

close_repository Rate-limited

close_repository stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "close_repository": {
      "limits": [
        {
          "counter": "close_repository_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Trailmark MCP Server, so you can run agents against it safely.

FAQ

Questions about close_repository

What does the close_repository tool do? +

Close an active repository session. It is categorised as a Write tool in the Trailmark MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on close_repository? +

Register the Trailmark MCP Server MCP server in PolicyLayer and add a rule for close_repository: 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 Trailmark MCP Server. Nothing to install.

What risk level is close_repository? +

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

Can I rate-limit close_repository? +

Yes. Add a rate_limit block to the close_repository 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 close_repository completely? +

Set action: deny in the PolicyLayer policy for close_repository. 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 close_repository? +

close_repository is provided by the Trailmark MCP Server MCP server (parsiya/trailmark-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.