High Risk →

trials_details

Get full detail for one clinical trial by its NCT id (e.g. 'NCT02562313'): title, status, conditions, sponsor, phase, interventions, brief summary, enrollment, start/completion dates, number of sites, and the study URL.

Part of the Livedatalink server.

trials_details can trigger actions in Livedatalink, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke trials_details to trigger processes or run actions in Livedatalink. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

trials_details can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "trials_details": {
      "limits": [
        {
          "counter": "trials_details_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Livedatalink policy for all 177 tools.

Get this rule live on your own Livedatalink 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 trials_details 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 trials_details only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the trials_details tool do? +

Get full detail for one clinical trial by its NCT id (e.g. 'NCT02562313'): title, status, conditions, sponsor, phase, interventions, brief summary, enrollment, start/completion dates, number of sites, and the study URL.. It is categorised as a Execute tool in the Livedatalink MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on trials_details? +

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

What risk level is trials_details? +

trials_details is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit trials_details? +

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

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

trials_details is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Livedatalink tool call.

Deterministic rules across all 177 Livedatalink 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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