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check_robots_sitemap

Check a site's robots.txt and sitemap.xml in one call: raw contents (truncated), sitemap presence, an AI-crawler policy analysis (explicit rules for GPTBot, ClaudeBot, CCBot, PerplexityBot, Google-Extended, Bytespider, Amazonbot and other AI crawlers, vs wildcard/default), and llms.txt presence. For a scored, whole-site AI-readiness report use ai_readiness_audit instead.

Input Schema

NameRequiredDescriptionDefault
urlYesAny URL on the site to check (origin is derived from it)

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?

With no annotations, the description carries the full behavioral burden, and it does disclose a real trait beyond the name: content is returned truncated, and the crawler analysis distinguishes explicit named-bot rules from wildcard/default rules. It is silent on failure modes (unreachable origin, timeouts) and rate limits, which for an external-fetch tool leaves a modest 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 core action in the first clause, and the routing hint is correctly placed last. The middle enumeration of AI crawler names is long but each item carries real informational value; the only cost is that it reads as one dense run-on sentence.

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?

No output schema exists, so the description must describe returns, and it enumerates them thoroughly. With only one required parameter and no annotations, the remaining gaps are error/edge-case behavior and pagination or truncation limits beyond the word 'truncated'.

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% and the single parameter's meaning ('any URL on the site, origin is derived from it') is already documented in the schema. The description adds no syntax, format, or edge-case guidance beyond that, so 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?

States a specific verb and resource pair (checks robots.txt and sitemap.xml) plus the exact deliverables: raw contents (truncated), sitemap presence, AI-crawler policy analysis, and llms.txt presence. It also explicitly separates itself from the sibling ai_readiness_audit, so an agent can distinguish the two 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 Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The closing sentence names the alternative tool (ai_readiness_audit) and the exact condition that selects it (a scored, whole-site AI-readiness report). Combined with the enumeration of what this tool does cover, the agent knows both when to call it and when to route elsewhere.

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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