Low Risk

describe_place

Return the dossier projection for a city, in the requested cognitive lens. Defaults to the synthesis projection (the multidimensional view that holds all lenses in superposition and names the dialectics). Pass a single-lens value to get the focused cognitive position — useful when the agent is ac...

Part of the Zoning Signal server.

describe_place 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 describe_place 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 describe_place 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": {
    "describe_place": {}
  }
}

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so describe_place 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 describe_place tool do? +

Return the dossier projection for a city, in the requested cognitive lens. Defaults to the synthesis projection (the multidimensional view that holds all lenses in superposition and names the dialectics). Pass a single-lens value to get the focused cognitive position — useful when the agent is acting on behalf of a user with a specific stake (developer underwriting, investor thesis, broker client argument, attorney precedent search, resident orientation, civic-leader regional coordination).. 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 describe_place? +

Register the Zoning Signal MCP server in PolicyLayer and add a rule for describe_place: 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 describe_place? +

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

Can I rate-limit describe_place? +

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

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

describe_place 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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