UK Data: Clinical trials
Server Details
Search ClinicalTrials.gov by condition, drug, location and status, with full trial details
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
There is only one tool, so an agent cannot confuse it with another tool in the set. The combined search/get behavior is clearly stated in the description, leaving no tool-selection ambiguity.
The sole tool name is a readable snake_case noun phrase, so there is no inconsistency across tools. However, it does not follow a verb_noun action pattern, which limits how assessable naming consistency is for a one-tool server.
A single tool is borderline thin for a clinical trials data server, especially because it collapses both search and get-by-NCT-id into one operation. It is still reasonably scoped for a narrow data-retrieval purpose.
The tool covers the core retrieval workflow: searching trials and fetching one by NCT id with eligibility criteria and sites. For a reference-data server, create/update/delete operations are not expected, though filtering or pagination details are not visible.
Available Tools
1 toolclinical_trialsAInspect
Search clinical trials, or get one by NCT id with eligibility criteria and sites. (cost: 1 credit)
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | number 1-50 | |
| nctId | No | string | |
| status | No | RECRUITING|COMPLETED|ACTIVE_NOT_RECRUITING|... | |
| location | No | string | |
| condition | No | string | |
| intervention | No | string |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations supplied, the description carries the full burden, and it does disclose a real behavioral trait beyond the schema: a cost of 1 credit per call, plus the extra payload (eligibility criteria, sites) returned in the detail mode. It says nothing about what happens with an unknown NCT id, whether results are paginated, or what a zero-filter call returns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with both modes front-loaded and the credit cost tucked in parentheses, so nothing is padded. The "or get one by NCT id" pivot is slightly telegraphic but does not obscure meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema and no annotations, so the description must cover both purpose and behavior; it identifies both call shapes and the cost. The remaining gap is the all-optional parameter set — an agent cannot tell from this text whether a filterless call is a valid bulk listing or an error.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is nominally 100%, but the per-parameter descriptions are type stubs ("string", "number 1-50"), so the schema conveys field names and little else. The description adds meaning only for nctId, leaving condition, intervention, location, status, and limit semantics to inference; the high coverage figure keeps this at the baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names a specific verb and resource ("Search clinical trials") and distinguishes two modes: a search and a single-record fetch by NCT id that returns eligibility criteria and sites. No sibling covers clinical trials, so the differentiation is implicit in the domain name rather than stated, which keeps it just short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The "or get one by NCT id" clause gives a clear conditional for choosing the detail mode over the search mode. It stops short of the highest bar because it never says when not to use this tool, nor whether a search requires at least one filter (all six parameters are optional).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
clinical_trials
Related MCP Connectors
Clinical trial search and status from ClinicalTrials.gov
Search ClinicalTrials.gov: find studies, retrieve results, match patients to candidate trials.
Search and analyze ClinicalTrials.gov: trials by keyword/condition/drug/status/phase, one study's…
Search and monitor ClinicalTrials.gov and EU trial registry records, with trial change tracking and
Related MCP Servers
- AlicenseBqualityDmaintenanceEnables searching and querying clinical trials from ClinicalTrials.gov with intelligent filtering for recruiting studies, geographic search, and detailed trial information including contacts and eligibility criteria.31 npm6MIT
- FlicenseNot gradedqualityDmaintenanceEnables searching and retrieving information from the ClinicalTrials.gov database of over 400,000 clinical studies, including trial details, eligibility criteria, locations, and results across 220+ countries.5-
- FlicenseNot gradedqualityDmaintenanceEnables searching and retrieving detailed clinical trial information from ClinicalTrials.gov via the official API.1-
- AlicenseNot gradedqualityAmaintenanceEnables searching ClinicalTrials.gov's 600K+ registered studies with full-text and field-specific queries, status/phase/geographic filters, and field discovery. Also retrieves full study records and posted results, and matches patient demographics and conditions to candidate recruiting trials.2,116 npmApache 2.0
Glama MCP Gateway
Add one secure layer between your agents and this server.