Related studies
find_related_studiesStudies a given study cites, studies that cite it, and the most similar studies by shared health conditions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| study | Yes | Study id, slug, DOI or URL |
find_related_studiesStudies a given study cites, studies that cite it, and the most similar studies by shared health conditions.
| Name | Required | Description | Default |
|---|---|---|---|
| study | Yes | Study id, slug, DOI or URL |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the useful disclosure that results come from three distinct traversal directions, but says nothing about result limits, ordering, or how sparse the citation data may be.
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 efficient sentence that enumerates the three result categories with no filler. It leads with the content of the result set rather than a verb, which is slightly less front-loaded than an ideal framing, but nothing is wasted.
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?
For a one-parameter read-only tool with full annotation coverage and no output schema, the description does the important work of explaining what the returned relations are. Missing only edge-case behavior (unknown identifier, empty citations), which is minor here.
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 100% and the 'study' parameter already documents that it accepts an id, slug, DOI, or URL. The description only refers vaguely to 'a given study' and adds no syntax, format preference, or ambiguity handling beyond the schema.
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?
The description spells out exactly what the tool returns: cited studies, citing studies, and similar studies by shared health conditions. That three-way scope clearly separates it from get_study (a single record) and search_studies, though no sibling is named explicitly.
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?
Usage is only implied — an agent can infer this is the tool to reach for when it wants literature connected to a known study. There is no explicit 'use this when…' statement and no guidance on when to prefer search_studies or get_condition_evidence instead.
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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