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Leer /llms.txt de VamosAlicante

get_llms_txt
Read-onlyIdempotent

Devuelve el contenido actual de /llms.txt de VamosAlicante como texto plano. Este recurso contiene instrucciones y recursos destinados a agentes de IA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the return format ('texto plano') as a behavioral detail, but nothing else — no mention of content size, freshness, or how links within the document should be handled.

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?

Two sentences, each earning its place: the first states the action and output format; the second provides context about the resource's purpose for AI agents. No redundancy and no filler.

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 zero-parameter, no-output-schema, read-only tool, the description is nearly complete. It states what is returned, in what format, and why the resource matters (instructions/resources for AI agents). A brief note that the content may be lengthy or contain links to other endpoints would push it to a 5, but nothing essential is missing.

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 tool takes zero parameters and schema coverage is 100% (an empty properties object). Per rubric, 0 params earns a baseline of 4. Parameter semantics are a non-issue here since there is nothing to configure.

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 states a specific verb ('Devuelve') and a specific resource ('/llms.txt de VamosAlicante'), and clarifies the output format ('texto plano'). It is clearly distinguishable from all sibling tools, none of which relate to llms.txt — siblings cover beaches, vehicles, food, places, transit, parking, weather, and events.

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 second sentence notes the resource contains 'instrucciones y recursos destinados a agentes de IA', which implies the tool is useful when an agent needs site-specific guidance. However, there is no explicit statement of when to use it over alternatives or when not to use it.

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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