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threadmap_track

Track a message in the conversation timeline. Call after each user or assistant message to build the drift map.

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Part of the Threadmap server.

threadmap_track can trigger actions in Threadmap, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke threadmap_track to trigger processes or run actions in Threadmap. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

threadmap_track can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "threadmap_track": {
      "limits": [
        {
          "counter": "threadmap_track_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Threadmap policy for all 7 tools.

Get this rule live on your own Threadmap server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access threadmap_track gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so threadmap_track only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the threadmap_track tool do? +

Track a message in the conversation timeline. Call after each user or assistant message to build the drift map.. It is categorised as a Execute tool in the Threadmap MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on threadmap_track? +

Register the Threadmap MCP server in PolicyLayer and add a rule for threadmap_track: 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 Threadmap. Nothing to install.

What risk level is threadmap_track? +

threadmap_track is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit threadmap_track? +

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

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

threadmap_track is provided by the Threadmap MCP server (threadmap-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Threadmap tool call.

Deterministic rules across all 7 Threadmap tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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