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Generate llms.txt and llms-full.txt

generate_llms_txt

Crawl a website's key pages and generate a spec-compliant /llms.txt plus an /llms-full.txt with page content as Markdown, ready to upload to the site root. Costs 1 credit. Requires signing in with LLMready Pro.

Input Schema

NameRequiredDescriptionDefault
urlYesWebsite URL or bare domain

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already flag a non-idempotent, open-world, non-destructive operation; the description adds the two things annotations cannot convey: a 1-credit cost and a Pro sign-in requirement, plus the fact that it performs a live crawl of site pages. It stops short of saying whether the crawl is synchronous, how many pages are covered, or where results land, which matters for an open-world network operation.

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, no filler: the action and artifacts come first, then cost and auth prerequisites. Every clause (credit cost, Pro requirement, upload-ready output) carries information an agent would otherwise have to discover.

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 tool with no annotations on return shape and no output schema, the description covers purpose, artifacts produced, cost, and auth. The remaining gap is what actually comes back from the call (inline files, URLs, or an async job reference) and roughly how long a crawl takes.

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 100% and the single parameter already documents 'Website URL or bare domain'. The description only echoes that a website is crawled, adding no constraint on domain validation, subdomain handling, or crawl depth. With the schema carrying the load, baseline 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?

Names a specific verb ('Crawl ... and generate') paired with two concrete artifacts (/llms.txt and /llms-full.txt) in spec-compliant Markdown form. This is clearly distinct from sibling tools like validate_llms_txt (checks an existing file) and audit_url (analysis only), so an agent can route without opening either schema.

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?

Usage is only implied by the stated outcome and prerequisites ('Requires signing in with LLMready Pro', 'Costs 1 credit'). It never says when to pick this over validate_llms_txt or quick_check, nor what to do if a site already has an llms.txt. Prerequisites are a genuine plus, but alternative-routing guidance is absent.

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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