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robots_check

Read-only

Read a domain's robots.txt as crawlers do: raw file, parsed user-agent groups, Sitemap lines, and an allowed/blocked matrix for search and AI bots (Googlebot, Bingbot, GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot, Claude-SearchBot, Google-Extended, CCBot, Applebot, Bytespider…) over the homepage plus any urls given. Also reports whether /llms.txt exists and its shape. Any public domain.

Input Schema

NameRequiredDescriptionDefault
botsNoRestrict to these user agents (JSON array or comma-separated). Default: the full search + AI list
urlsNoPaths or URLs to test per bot (JSON array or comma-separated, max 25). The homepage is always included
detailNoOutput verbosity: "concise" (default) trims long lists to top-25 and caps size; "detailed" returns the full result.
domainYesDomain or URL, e.g. navyaai.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, and openWorldHint=true, and the description correctly aligns with them. It adds real value beyond the annotations by disclosing that /llms.txt existence is also checked and its shape reported, and that results span multiple bots and URLs in one call.

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 core action and its outputs before the bot enumeration, and the closing "Any public domain" is a useful constraint. The long parenthetical bot list is the only costly element, though it does illustrate the default set.

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 no output schema, the description carries the return-value burden and does so by naming the four result components plus the llms.txt check. It is complete enough to call correctly, missing only guidance on how results relate to sibling access-check tools.

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 description coverage is 100%, so the schema already documents domain, bots, urls, and detail with their defaults and the max-25 cap. The description restates the default bot list and confirms the homepage is always included, but adds no syntax or semantics beyond the schema. 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?

States a specific verb (read) and resource (robots.txt) plus the exact outputs: raw file, parsed user-agent groups, Sitemap lines, and an allowed/blocked matrix. This clearly distinguishes it from neighbors like sitemap_check, redirect_check, snippet_check, and inspect_url, which an agent could otherwise confuse it with.

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?

"Any public domain" gives scope, and testing per-bot over the homepage plus supplied URLs implies when it's useful, but there is no explicit when-to-use guidance and no mention of how it differs from crawl-based or URL-inspection tools that also report access.

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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