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Read-onlyIdempotent

Generate robots.txt, llms.txt, or JSON-LD files to fix measured AI-readiness findings for a page or domain; unmeasured items return TODO, so review needsHumanInput before committing.

Instructions

Generate a file that fixes a deterministic finding: 'robots_txt' (unblocks AI crawlers while leaving other rules alone), 'llms_txt' (lists the site's real pages) or 'jsonld' (a script block for one page). Anything we did not measure comes back as TODO rather than a guess, so check needsHumanInput before committing. Pass exactly one of report_id or domain_id. Free: does not use a credit.

Input Schema

NameRequiredDescriptionDefault
kindYesWhich file to generate
domain_idNoDomain ID, for a site-scoped artifact
report_idNoReport ID, for a page-scoped artifact

Output Schema

NameRequiredDescriptionDefault
kindYes
notesYes
changedYes
contentYes
filenameYes
contentTypeYes
needsHumanInputYes
containsSiteTextYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds meaningful context beyond them: unmeasured data comes back as TODO rather than a guess, and the call is free (no credit). That is exactly the kind of caveat annotations can't express.

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?

Front-loads the core purpose, then the three kinds, then the TODO caveat, the exclusivity constraint, and the cost note. Dense but every sentence carries information; minor nesting in the kind list is the only drag.

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?

With an output schema present, return values need not be described, and the description still covers artifact variants, TODO placeholders, the pre-commit check, parameter exclusivity, and cost. Referencing a needsHumanInput tool absent from the sibling list is the one loose end.

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% so the parameter definitions are already documented, but the description adds a constraint the schema does not enforce: 'Pass exactly one of report_id or domain_id', plus the report=page-scoped / domain=site-scoped mapping implied by the kinds.

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?

States a specific verb and resource ('Generate a file that fixes a deterministic finding') and enumerates the three artifact kinds with a short gloss for each, so an agent can tell exactly what it produces. It is clearly distinguishable from siblings like get_fix_plan or get_findings.

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?

Gives real usage context: use it for deterministic findings, check needsHumanInput before committing, and pass exactly one of report_id or domain_id. It doesn't explicitly name an alternative tool or a when-not-to-use condition, 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.