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Augmented-Nature

Unofficial Clinical Trials MCP Server

search_international_studies

Find multi-country clinical trials by condition, phase, country inclusion or exclusion, and minimum number of countries involved.

Instructions

Find multi-country international clinical trials

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conditionNoMedical condition to filter by
excludeCountryNoCountry to exclude from results (e.g., "United States")
includeCountryNoCountry that must be included in results
minCountriesNoMinimum number of countries involved
phaseNoStudy phase filter
pageSizeNoNumber of results to return (default 10, max 100)
Behavior2/5

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

With no annotations provided, the description carries full behavioral transparency burden but only says 'Find', which is too vague. It does not disclose pagination behavior, result ordering, or any side effects. The schema covers parameters but not runtime behavior.

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

Conciseness3/5

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

The description is a single short sentence, which is concise but under-specified for a search tool with 6 parameters. It earns its place but lacks front-loaded structure or elaboration.

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?

Given the complexity (6 optional parameters, no annotations, no output schema), the description is incomplete. It does not explain how to combine filters, what results look like, or provide examples, leaving significant gaps for the agent.

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 100%, so each parameter is already described in the input schema. The description adds no extra meaning beyond the schema, so a baseline of 3 is appropriate.

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 'Find multi-country international clinical trials' clearly states the tool's purpose with a specific verb and resource, emphasizing the multi-country aspect. While it distinguishes from siblings like get_pediatric_studies, it could be more precise about what qualifies as an international study.

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 is provided on when to use this tool versus alternatives such as search_by_condition or search_by_location. The description lacks explicit context, exclusions, or examples, leaving the agent to infer usage from the tool name and parameters.

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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