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agent_ready_kit

Agent-Ready Audit plus generated files: llms.txt, llms-full.txt, merged robots.txt AI section, sitemap.xml, JSON-LD and meta/OG per page, agent card, and an install guide (zip). Unknown facts stay TODO. Kit license: No-Resale License (LICENSE.md in the zip; https://grokzilla.shop/kits/license). Not charged if the site blocks us or is unreachable (422, charged:false). Price $0.2502 via x402.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: it discloses the charge ($0.2502 via x402), the exact no-charge condition (site blocks us or is unreachable → 422, charged:false), the license restriction (No-Resale, LICENSE.md in zip), and that unknown facts are emitted as TODO rather than fabricated. What it omits is any statement of what input the caller must supply, which for a paid invocation is a notable behavioral gap.

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-loaded with the deliverable list, then billing, license, and failure semantics — the ordering matches decision order. It is dense and slightly list-like, but every clause (price, 422 refund rule, TODO convention, license) carries information an agent or its user needs before paying.

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?

There is no output schema, so the itemized deliverables do a fair job of describing the return. For a paid, non-idempotent generation tool, though, the missing input contract is a real hole: the description covers cost, license, and failure handling but never says what to send or how long generation 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?

Parameter count is zero and the schema is explicitly permissive ('MCP does not constrain fields... send the same JSON object the HTTP endpoint accepts'), which is not the same as a genuinely parameterless tool. The description adds no information about what fields to send (presumably a url/site), so the agent is left guessing at the request body despite 100% schema coverage — coverage here documents the absence of spec, not parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the concrete artifact produced (an audit plus a zip of llms.txt, llms-full.txt, robots.txt AI section, sitemap.xml, JSON-LD/meta/OG per page, agent card, install guide), which is more specific than a generic verb+resource. It is implicitly distinguishable from agent_ready_audit and agent_ready_recheck by the deliverable list, but it never states the contrast outright, so an agent must infer which sibling to pick.

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 contents: an agent can guess this is the 'generate everything' counterpart to agent_ready_audit, but there is no explicit when-to-use, when-not-to-use, or named alternative. No prerequisites (e.g., site must be crawlable) are stated beyond the incidental remark that blocking yields a 422.

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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