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smaniches
by smaniches

Search Diseases (MONDO)

search_diseases
Read-onlyIdempotent

Search for diseases by name or keyword to retrieve canonical MONDO IDs and cross-references, enabling clinical term resolution for downstream analysis.

Instructions

Search for diseases by name or keyword using the MONDO ontology.

Returns a ranked list of matching diseases with MONDO IDs and cross-references. Useful for resolving a clinical term to a canonical identifier before querying targets or phenotypes.

Example: search_diseases(query='breast cancer', limit=5)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations declare readOnlyHint=true, idempotentHint=true, openWorldHint=true. Description adds that results are ranked and include MONDO IDs and cross-references, providing useful behavioral context beyond annotations.

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

Conciseness5/5

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

Three sentences and an example, no wasted words. Front-loaded with purpose, then use case, then example. Highly efficient.

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

Completeness5/5

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

For a simple search tool with two well-described parameters and an output schema (implied), the description explains return format (ranked list, MONDO IDs, cross-references) and use case, making it fully adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema descriptions cover both parameters fully (query and limit), but the description adds an example call with typical values, which aids understanding. Schema coverage is high, so baseline is 3; the example provides additional value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool searches for diseases by name or keyword using the MONDO ontology, distinguishing it from lookup_disease which likely requires an exact ID. The verb 'search' and resource 'diseases (MONDO)' are specific.

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

Usage Guidelines4/5

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

Provides explicit use case: 'resolving a clinical term to a canonical identifier before querying targets or phenotypes.' Does not explicitly state when not to use or list alternatives, but context is clear.

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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