Low Risk

get_stops_around_location

Discovers transit stops near a geographic point, returning each stop's numeric code, name, coordinates, and walking distance. Also emits a map UI block with multiple markers for map-capable clients (e.g. ChatGPT). Use this as the first step whenever the user provides an address, place name, or co...

Part of the Lviv Public Transport server.

get_stops_around_location 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_stops_around_location to retrieve information from Lviv Public Transport 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_stops_around_location 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_stops_around_location": {}
  }
}

See the full Lviv Public Transport policy for all 8 tools.

Get this rule live on your own Lviv Public Transport 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 get_stops_around_location 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_stops_around_location 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_stops_around_location tool do? +

Discovers transit stops near a geographic point, returning each stop's numeric code, name, coordinates, and walking distance. Also emits a map UI block with multiple markers for map-capable clients (e.g. ChatGPT). Use this as the first step whenever the user provides an address, place name, or coordinates and you need stop IDs before calling get_stop_realtime or get_stop_geometry. Do NOT use this to fetch arrivals or live vehicle data — it returns stop metadata only. Default radius is 1 000 m; narrow it (e.g. 300 m) for dense urban areas or widen it (up to 3 000 m) for rural locations.. It is categorised as a Read tool in the Lviv Public Transport MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_stops_around_location? +

Register the Lviv Public Transport MCP server in PolicyLayer and add a rule for get_stops_around_location: 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 Lviv Public Transport. Nothing to install.

What risk level is get_stops_around_location? +

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

Can I rate-limit get_stops_around_location? +

Yes. Add a rate_limit block to the get_stops_around_location 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_stops_around_location completely? +

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

get_stops_around_location is provided by the Lviv Public Transport MCP server (https://api.lad.lviv.ua/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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