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Lightning · AI Visibility Data

Ver ficha de un estudio

ver_ficha
Read-only

Ficha gratis de un estudio: metodología, muestra, modelos usados, dimensiones del universo de preguntas, índice de análisis y de hallazgos, y ejemplos de preguntas y respuestas. No incluye los números de los análisis ni los hallazgos. / Free study sheet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesIdentificador del estudio

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds a useful negative scope disclosure (no analysis numbers, no findings), but says nothing about auth, cost, rate limits, or the shape of the returned sheet.

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?

Two compact sentences, front-loaded with the core purpose and content list, followed by the exclusion. The trailing bilingual '/ Free study sheet.' is redundant with the opening 'Ficha gratis' and adds little, a minor structural blemish.

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

Completeness4/5

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

For a one-parameter, read-only tool with no output schema, the description enumerates the return contents well, which compensates for the absent output schema. Missing only an explicit pointer to comprar_estudio for the withheld findings.

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% and the single enum-constrained slug parameter is fully documented in the schema. The description adds no syntax or format detail beyond the schema, so this sits at the baseline; the enum of legal slugs makes the schema self-sufficient, nudging it slightly above minimum.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Ficha gratis de un estudio') and enumerates the exact content it returns (methodology, sample, models, dimensions, indexes, Q&A examples). It partially differentiates from siblings by declaring what is NOT included, though it never names comprar_estudio or listar_estudios explicitly.

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 word 'gratis' plus the exclusion 'No incluye los números de los análisis ni los hallazgos' implicitly signals this is a preview, not the paid content owned by comprar_estudio. However, no alternative is named and no explicit when-to-use/when-not condition is stated, leaving the routing to inference.

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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