Medium Risk

track_task

Starts tracking time. With task_id, calls POST /tasks/track/:task_id. Without task_id, calls /tasks/track/ with query fields such as task_name and project_name/project_id. Limitations: write operation; provide either task_id or a trackable task/project/service reference.

Risk signalsHigh parameter count (16 properties)

Part of the Mcp Server server.

track_task can modify Mcp Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use track_task to create or modify resources in Mcp Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call track_task repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "track_task": {
      "limits": [
        {
          "counter": "track_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access track_task 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 track_task only ever does what you allow.

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

What does the track_task tool do? +

Starts tracking time. With task_id, calls POST /tasks/track/:task_id. Without task_id, calls /tasks/track/ with query fields such as task_name and project_name/project_id. Limitations: write operation; provide either task_id or a trackable task/project/service reference.. It is categorised as a Write tool in the 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 track_task? +

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

What risk level is track_task? +

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

Can I rate-limit track_task? +

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

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

track_task is provided by the Mcp Server MCP server (https://mcp.trackingtime.co/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Server tool call.

Deterministic rules across all 26 Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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