Low Risk

search_trials

Search the universal CT.gov mirror by condition, sponsor, country, status, phase, drug class, intervention kind, or geographic radius. Returns a paginated list of matching trials with sponsor, phase, status, country list, and enrichment tags. Use get_trial_brief for deeper detail on any returned ...

Risk signalsHigh parameter count (13 properties)

Part of the TRIALPATH server.

search_trials 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 search_trials to retrieve information from TRIALPATH 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 search_trials 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": {
    "search_trials": {}
  }
}

See the full TRIALPATH policy for all 14 tools.

Get this rule live on your own TRIALPATH 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 search_trials 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 search_trials 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 search_trials tool do? +

Search the universal CT.gov mirror by condition, sponsor, country, status, phase, drug class, intervention kind, or geographic radius. Returns a paginated list of matching trials with sponsor, phase, status, country list, and enrichment tags. Use get_trial_brief for deeper detail on any returned NCT id. $0.005 per call (free with API key under daily quota; otherwise pay USDC over x402).. It is categorised as a Read tool in the TRIALPATH MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_trials? +

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

What risk level is search_trials? +

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

Can I rate-limit search_trials? +

Yes. Add a rate_limit block to the search_trials 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_trials completely? +

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

search_trials is provided by the TRIALPATH MCP server (spencerdgarrett/TRIALPATH). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TRIALPATH tool call.

Deterministic rules across all 14 TRIALPATH tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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