Low Risk

bike_search_stations

Search for Citibike stations by name, borough, or availability. Returns station availability and capacity.

Risk signalsAccepts freeform code/query input (query)

Part of the SubwayInfo NYC server.

bike_search_stations 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 bike_search_stations to retrieve information from SubwayInfo NYC 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 bike_search_stations 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": {
    "bike_search_stations": {}
  }
}

See the full SubwayInfo NYC policy for all 22 tools.

Get this rule live on your own SubwayInfo NYC 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 bike_search_stations 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 bike_search_stations 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 bike_search_stations tool do? +

Search for Citibike stations by name, borough, or availability. Returns station availability and capacity.. It is categorised as a Read tool in the SubwayInfo NYC MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bike_search_stations? +

Register the SubwayInfo NYC MCP server in PolicyLayer and add a rule for bike_search_stations: 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 SubwayInfo NYC. Nothing to install.

What risk level is bike_search_stations? +

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

Can I rate-limit bike_search_stations? +

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

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

bike_search_stations is provided by the SubwayInfo NYC MCP server (ckbk/subwayinfo-nyc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SubwayInfo NYC tool call.

Deterministic rules across all 22 SubwayInfo NYC tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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