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berntpopp
by berntpopp

Get Disease Prevalence

get_disease_prevalence
Read-onlyIdempotent

Retrieve prevalence class, geographic area, and source reference for a rare disease by supplying an Orpha number, disease name, or external identifier.

Instructions

Return prevalence data for an Orphanet disorder: prevalence class, geographic area, and source reference. Signature: get_disease_prevalence(term, response_mode=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYesAn ORPHAcode (ORPHA:33069 or 33069), a disease label/synonym, or an external xref CURIE that resolves to a single Orphanet term.
response_modeNoVerbosity: minimal|compact|standard|full (default compact).compact
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the bar is lower. The description adds minimal behavioral context: it specifies the type of data returned (prevalence class, geographic area, source) but does not disclose any additional traits like rate limits, pagination, or error handling.

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?

The description is two sentences: the first clearly states purpose and outputs, the second provides the signature. No extraneous information, front-loaded with the key action.

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?

Given the tool has only two parameters and rich annotations, the description is adequate but not comprehensive. It lacks details about the structure of the prevalence response (e.g., array vs single object, required fields) and does not mention potential edge cases (e.g., unknown term). With no output schema, more detail would improve completeness.

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 the schema already documents both parameters with descriptions and examples. The description only repeats the function signature without adding new semantic meaning beyond what the schema provides.

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?

The description clearly states the verb 'Return' and specifies the resource 'prevalence data for an Orphanet disorder' along with the specific outputs: prevalence class, geographic area, and source reference. This distinguishes it from sibling tools like get_disease (general info) or get_disease_genes.

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

Usage Guidelines3/5

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

The description explains what the tool does but does not provide explicit guidance on when to use it versus alternatives. It lacks when-not-to-use scenarios or mentions of sibling tools. The purpose is clear but usage context is only implied.

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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