search_by_study_uid

THE RISK

Low Risk

Why search_by_study_uid needs a policy

Search operations retrieve data without modifying or deleting it, making this a Read category tool. The empty description lowers confidence slightly, but the naming convention strongly suggests a lookup/retrieval function. The 'study_uid' parameter suggests querying a medical or research database for a specific study record.

From the tool's definition Tool name 'search_by_study_uid' indicates a query/search operation with 'search_by' pattern, typical of retrieval functions. Description is empty, limiting certainty.

Documented attack patterns abuse exactly the kind of access search_by_study_uid gives an agent:

POLICY

How to control search_by_study_uid

PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_by_study_uid:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_by_study_uid": {}
  }
}

search_by_study_uid is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Prometheus MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about search_by_study_uid

What does the search_by_study_uid tool do? +

search_by_study_uid. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_by_study_uid? +

Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for search_by_study_uid: 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 Prometheus MCP Server. Nothing to install.

What risk level is search_by_study_uid? +

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

Can I rate-limit search_by_study_uid? +

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

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

search_by_study_uid is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Prometheus MCP Server tool call.

Start from Prometheus MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →