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sparql_get_prefixes

Read-onlyIdempotent

Retrieve common SPARQL prefixes for an endpoint, including standard and endpoint-specific ones, to simplify query writing.

Instructions

Get commonly used prefixes for a SPARQL endpoint.

Returns a combination of well-known standard prefixes (rdf, rdfs, owl, xsd, etc.) and any endpoint-specific prefixes discovered via the data.

Args: params: Parameters including endpoint URL, timeout, and optional headers.

Returns: Formatted list of prefix declarations for use in SPARQL queries.

Examples: >>> sparql_get_prefixes(SparqlGetPrefixesInput( ... endpoint="https://query.wikidata.org/sparql" ... )) "PREFIX rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns#\n..."

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 already indicate read-only, idempotent behavior. The description adds that it returns a mix of well-known and endpoint-specific prefixes discovered via data, providing useful 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?

The description is concise, front-loaded with purpose, and efficiently includes Args, Returns, and an example without unnecessary verbosity.

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 an output schema exists, the description covers what prefixes are returned, includes a concrete example, and provides sufficient context for a simple, read-only tool.

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 description coverage is 0% per context, but the schema itself includes descriptions for each parameter. The tool description merely reiterates 'Parameters including endpoint URL, timeout, and optional headers', adding minimal extra meaning beyond the schema.

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 retrieves commonly used prefixes for a SPARQL endpoint, which is specific and distinct from sibling tools that perform queries or validation.

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 implies usage for obtaining prefixes before writing SPARQL queries, but does not provide explicit when-to-use or when-not-to-use guidance, nor mentions alternatives among sibling tools.

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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