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Glama

Pubmed Clinical Trials

pubmed_clinical_trials

Search ClinicalTrials.gov for clinical studies by condition, status, or intervention to find relevant trials and support research or enrollment decisions.

Instructions

Search ClinicalTrials.gov for clinical studies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoStudy status — 'recruiting', 'active', 'completed', 'terminated'. Empty = all statuses.
conditionNoMedical condition/disease (e.g., 'diabetes', 'breast cancer').
max_resultsNoMaximum results (1-100).
interventionNoTreatment/drug being studied (e.g., 'metformin', 'immunotherapy').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.3

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and does not meet it. It says nothing about pagination, result ordering, rate limits, or what the (existing) output schema returns, leaving only the bare fact that a search occurs.

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?

A single front-loaded sentence with zero filler. It is efficient, though the brevity reflects under-specification rather than disciplined trimming.

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

Completeness3/5

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

An output schema exists and all parameters are documented, so return values and inputs are covered elsewhere. What is missing is the routing context needed to place this tool among many similar search siblings, which a one-line description does not supply.

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 all four parameters (status, condition, max_results, intervention) are already fully documented with defaults and examples. The description adds no syntax, format, or combination guidance beyond the schema, which is the expected baseline 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?

The description gives a specific verb ('Search') and resource ('ClinicalTrials.gov ... clinical studies'), which distinguishes it from pubmed_search and europepmc siblings that target different corpora. It stops short of explicitly naming those alternatives, so an agent must infer the registry boundary from the name alone.

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?

There is no when-to-use guidance, no mention of when to prefer this over pubmed_search or pubmed_europepmc_search, and no prerequisites. With 17 sibling tools in the same domain, routing is left entirely to inference.

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