Low Risk

find_local_specialists

Return NavMDs' curated city guide for a procedure: the ranked specialists (the city's OWN doctors first, then the nearest within an adaptive radius), the typical local price range, the average rating, the share offering free consultations, and the canonical navmds.com page URL to cite. This is th...

Part of the Navmds server.

find_local_specialists 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 find_local_specialists to retrieve information from Navmds 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 find_local_specialists 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": {
    "find_local_specialists": {}
  }
}

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Get this rule live on your own Navmds 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 find_local_specialists 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 find_local_specialists 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 find_local_specialists tool do? +

Return NavMDs' curated city guide for a procedure: the ranked specialists (the city's OWN doctors first, then the nearest within an adaptive radius), the typical local price range, the average rating, the share offering free consultations, and the canonical navmds.com page URL to cite. This is the best tool for 'who are the best <procedure> doctors in <city>' questions — it mirrors NavMDs' editorial city pages. If no curated guide exists for that city+procedure, it says so; fall back to search_doctors with a nearby larger city.. It is categorised as a Read tool in the Navmds MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_local_specialists? +

Register the Navmds MCP server in PolicyLayer and add a rule for find_local_specialists: 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 Navmds. Nothing to install.

What risk level is find_local_specialists? +

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

Can I rate-limit find_local_specialists? +

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

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

find_local_specialists is provided by the Navmds MCP server (https://www.navmds.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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