Low Risk

get_track_record

Return the observatory's public calibration scorecard — the aggregate accuracy of past watch-item directional reads, horizon calls, and significance assessments across resolved watches. Returns: total_resolved, directional accuracy (aligned + 0.5 × mixed), horizon accuracy (within / total), signi...

Part of the Zoning Signal server.

get_track_record is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_track_record to retrieve information from Zoning Signal without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_track_record only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_track_record tool do? +

Return the observatory's public calibration scorecard — the aggregate accuracy of past watch-item directional reads, horizon calls, and significance assessments across resolved watches. Returns: total_resolved, directional accuracy (aligned + 0.5 × mixed), horizon accuracy (within / total), significance accuracy (confirmed / total), per-confidence-pip stratification, recent resolutions, and per-jurisdiction breakdown. Optionally scope to a single jurisdiction or corridor's constituent set. Use when an agent or user wants to assess Zoning Signal's historical forecasting accuracy before citing a current prediction. Misreads are reported.. It is categorised as a Read tool in the Zoning Signal MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_track_record? +

Register the Zoning Signal MCP server in PolicyLayer and add a rule for get_track_record: 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 Zoning Signal. Nothing to install.

What risk level is get_track_record? +

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

Can I rate-limit get_track_record? +

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

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

get_track_record is provided by the Zoning Signal MCP server (https://zoningsignal.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zoning Signal tool call.

Deterministic rules across all 17 Zoning Signal tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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