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Clinical Trials Intelligence — ClinicalTrials.gov + AI

clinicaltrials_intelligence
Read-only

Search clinical trials from the official ClinicalTrials.gov registry by…. Search clinical trials from the official ClinicalTrials.gov registry by condition, drug, sponsor or keyword — phases, status, enrollment, sponsors and…

Input Schema

NameRequiredDescriptionDefault
inputNoInput for Clinical Trials Intelligence — ClinicalTrials.gov + AI. See https://apify.com/noniner/clinicaltrials-intelligence.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered, but the description adds little beyond provenance ('official registry'). The title promises '+AI' enrichment that is never explained, and the trailing '...' cuts off mid-list so the scope of returned fields is unknown.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is duplicated verbatim and then truncated with ellipses, so the reader gets repeated content and an unfinished clause. Nothing is front-loaded beyond the resource name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and a placeholder input schema, the description is the only substantive source of information, and it is truncated and omits return fields, pagination, or what the AI layer contributes. Not enough for an agent to call this confidently beyond a naive keyword search.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is nominally 100%, but the single nested 'input' object's description is just a URL placeholder, so the description's enumeration of condition/drug/sponsor/keyword/phases/status/enrollment is the only real hint at accepted fields. That is useful but incomplete and cut off.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Search clinical trials from the official ClinicalTrials.gov registry') plus the filterable axes (condition, drug, sponsor, keyword). An agent can tell what it retrieves, though it never distinguishes itself from neighbors like fda_intelligence or research_paper_intelligence.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to choose this over the adjacent life-sciences tools, no prerequisites, no exclusions. Usage is only implied by the enumerated filter dimensions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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