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validate_llms_txt

Validate an existing llms.txt against the spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesA site whose /llms.txt should be fetched and validated

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It clearly indicates validation against the spec, and the schema adds that the URL is fetched, but it does not disclose the output format or whether any side effects occur. This leaves some ambiguity about what an agent should expect after calling the tool.

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 a single short sentence with no filler. It front-loads the action and resource, and every word contributes to the meaning.

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?

The interface is simple with one well-documented parameter, so the description is mostly adequate. However, with no output schema and no annotations, an agent must infer what a validation result looks like; a brief note about the return value would make the tool fully self-explanatory.

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?

The single 'url' parameter is fully described in the schema ('A site whose /llms.txt should be fetched and validated'), so the description adds little beyond confirming that the operation targets an existing llms.txt. With 100% schema coverage, the baseline of 3 applies.

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 uses a specific verb ('Validate') and resource ('existing llms.txt') against a defined standard ('the spec'), which clearly distinguishes it from siblings like generate_llms_txt and lint_robots_txt. An agent can immediately understand what the tool does and what it is not.

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 'existing' implies this is for llms.txt files that are already present, which differentiates it from generate_llms_txt. However, it does not explicitly state when to choose validate_llms_txt over check_site or lint_robots_txt, nor does it mention exclusions or prerequisites.

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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