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berntpopp
by berntpopp

Search Example Queries

search_example_queries
Read-onlyIdempotent

Search curated SPARQL example queries from UniProt by free-text over descriptions and keyword tags. Find relevant query examples to learn how to query UniProt data.

Instructions

Search UniProt's 126 curated, executable SPARQL example queries by free text over their descriptions and keyword tags (e.g. 'disease', '3D structure', 'cross-reference', 'taxonomy'). Returns example ids, descriptions, tags, and query types. Fetch the full query text with get_example_query, then run it via run_sparql_query. The best way to learn how to query UniProt. Signature: search_example_queries(text=, limit=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoFree-text filter over descriptions and keywords.
limitNoMax examples to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successNo
_metaNo
error_codeNo
messageNo
retryableNo
recovery_actionNo
fieldNo
allowed_valuesNo
hintNo
countNo
query_textNo
examplesNo
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. Description adds search behavior details (free-text over descriptions and tags, return fields) without contradiction.

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?

Concise single paragraph, front-loaded with purpose, ends with function signature. No wasted words.

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?

Given output schema exists and 2 simple params, the description fully covers searchable fields, return types, and workflow. Complete.

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?

Schema coverage is 100%. Description adds context to text parameter ('free-text filter over descriptions and keywords') and shows signature with defaults, providing marginal extra meaning.

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 it searches UniProt's curated SPARQL example queries by free text over descriptions and keyword tags, lists return fields, and differentiates from siblings like get_example_query.

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 context for learning how to query UniProt and outlines workflow (fetch full query with get_example_query then run via run_sparql_query). Lacks explicit when-not-to-use but adequate.

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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