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joseabantomarin

wquestions-mcp

load_example

Load a prebuilt demo universe to test natural language queries on a preconfigured domain model.

Instructions

Load a prebuilt demo universe (e.g. "spa") to try queries instantly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the action (load) but does not disclose behavioral traits like whether it overwrites current state, requires authentication, or what the output schema contains. This is insufficient for a mutation-type tool.

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, front-loaded sentence that communicates the core function without extraneous words. It earns its place, though it could include more detail about output or behavior.

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's simplicity (one parameter, no enums, has output schema), the description is adequate but incomplete: it does not describe return values despite an output schema existing. Behavioral aspects are also missing. A more complete description would cover what happens after loading.

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 0%, and the description adds one example value ('spa') to illustrate the 'name' parameter. However, it does not explain the parameter's meaning in depth (e.g., list of valid values, pattern, or purpose). It provides some added context but barely meets the baseline for zero-coverage parameters.

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 tool loads a prebuilt demo universe and provides an example ('spa'). It uses specific verb 'load' and resource 'demo universe', which distinguishes it from sibling tools like add_entity or reset.

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 phrase 'to try queries instantly' implies a use case (quick testing), but there is no explicit guidance on when to use this tool versus alternatives (e.g., reset) or when not to use it. The guidance is implied but not explicit.

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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