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Clinical Trials (ClinicalTrials.gov): Search clinical trials

clinical-trials__search
Read-onlyIdempotent

Find studies by condition, intervention (drug/device), location, sponsor or free text, optionally filtered by status and phase. Free within the daily allowance, then $0.003 USDC per call via x402.

Input Schema

NameRequiredDescriptionDefault
qNoFree-text search across the record
limitNoResults per page, 1-50 (default 20)
phaseNo1, 2, 3, 4, EARLY_PHASE1 or NA
statusNoComma-separated: RECRUITING, NOT_YET_RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED…
sponsorNoSponsor or collaborator
locationNoCity, region or country
conditionNoCondition or disease, e.g. "type 2 diabetes"
page_tokenNonext_page_token from a previous response
interventionNoDrug, device or procedure

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context by disclosing the cost model: free within the daily allowance, then $0.003 USDC per call via x402. That payment/rate-limit detail is real value beyond structured fields, though no pagination behavior is described.

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

Conciseness4/5

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

Two compact sentences, front-loaded with the searchable axes and ending with the cost note. Both sentences earn their place; minor redundancy in re-listing status/phase filters that also appear in the schema.

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

Completeness4/5

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

An output schema exists, so return values and next_page_token needn't be explained. For a zero-required-parameter search tool with 100% schema coverage, the description covers inputs and cost adequately; only pagination semantics and sibling routing could add more.

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 description coverage is 100%, so every parameter is already documented in the schema. The description restates the filter categories at a high level (condition, intervention, location, sponsor, status, phase) without adding syntax, format, or default guidance beyond what the schema provides. Baseline 3 is correct when the schema does the heavy lifting.

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 (find) and resource (studies) plus the full set of search axes: condition, intervention, location, sponsor, free text, with optional status/phase filters. This scope distinguishes it from siblings like clinical-trials__recruiting or clinical-trials__study, though it never names those alternatives explicitly.

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

Usage Guidelines3/5

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

The description enumerates what can be searched and what can be filtered, which implies when the tool applies, but offers no explicit when-to-use versus clinical-trials__recruiting or stats, and no exclusion conditions. Usage is inferred rather than directed.

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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