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leggi_guida

Contenuto completo di una guida del sito (testo integrale, aggiornato). Usare per rispondere a domande generali su isole, zone, itinerari, periodi, budget. Lo slug si ottiene da lista_guide.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug della guida (es. "tenerife", "quando-andare-canarie", "itinerario-7-giorni-tenerife")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses the return type (full, updated text) but does not mention response format, potential errors, or any read-only/non-mutating assurance beyond the name 'leggi' implying reading.

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 three concise sentences, front-loaded with the core purpose, then usage context, then parameter sourcing. No unnecessary words.

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 simple one-parameter read tool with no output schema, the description explains the content returned (full text) and when to use it. It could be slightly more detailed about response structure, but given simplicity it's adequate.

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?

The input schema already documents the slug parameter with examples (100% coverage). The description adds value by instructing that the slug comes from lista_guide, which helps the agent obtain a valid value.

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 returns the complete, updated text of a site guide. It distinguishes itself from siblings by specifying it's for answering general questions about islands, areas, itineraries, periods, and budget, and references lista_guide for slug retrieval.

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?

It explicitly states when to use it ('Usare per rispondere a domande generali...') and how to obtain the required parameter. However, it does not explicitly name alternative tools for specific queries, so it falls short of a 5.

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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