Skip to main content
Glama

query_sparql

Execute SPARQL SELECT or ASK queries against the Dutch RCE Cultural Heritage Objects linked data endpoint to retrieve or verify cultural heritage data.

Instructions

Voer een SPARQL SELECT of ASK query uit op het RCE CHO endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_rowsNo
sparql_queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must convey behavioral traits. It states the query forms allowed (SELECT/ASK) but fails to disclose whether the operation is read-only, any side effects, or rate limits. For a read-only tool, this omission is significant.

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

Conciseness4/5

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

The description is a single, focused sentence. It is concise but could be restructured to include parameter hints without losing brevity.

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

Completeness2/5

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

Although an output schema exists, the description is too sparse for a SPARQL tool. Missing details like query syntax, endpoint URL, result format, and default limits hinder effective use.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description does not explain either parameter—sparql_query (required syntax, prefixes?) or max_rows (default behavior, limit meaning). The agent must rely entirely on the schema names, which are insufficient.

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 specifies the verb (execute), resource (SPARQL SELECT/ASK query on RCE CHO endpoint), and scope. It distinguishes from sibling 'ping' by focusing on querying.

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 SPARQL queries but provides no explicit guidance on when to use it vs alternatives (only sibling is ping) or when not to use it (e.g., for CONSTRUCT queries).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jolietjakeblues/rce-cho-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server