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whereamimentioned

Check AI crawler access

check_ai_crawler_access
Read-only

Check whether a site's robots.txt allows or blocks each known AI crawler (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and about thirty others), with the exact rule and line that decided it.

Input Schema

NameRequiredDescriptionDefault
urlYes

Output Schema

NameRequiredDescriptionDefault
botsYes
originYes
summaryYes
sitemapsYes
truncatedYes
robotsStatusYes
robotsMissingYes
robotsServerErrorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real value by disclosing the breadth of the crawler set and that each verdict comes with the exact rule and line that decided it, but it says nothing about failure modes such as a missing, unreachable, or unparseable robots.txt.

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?

One sentence, front-loaded with the verb and outcome, then the coverage scope, then the evidence guarantee. Nothing is redundant or restated from the annotations.

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 and annotations covering safety, the description needs only to convey scope and intent, which it does. The remaining gap is edge-case behavior (no robots.txt, fetch errors), which matters for a network-dependent checker but is a minor omission.

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 0% for the single required `url` parameter, so the description must compensate. Saying "a site's robots.txt" implies the argument is a site root rather than an arbitrary page, but it never states whether a deep path is accepted or how redirects are handled, leaving a real ambiguity for the only input.

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 (check) and resource (a site's robots.txt rules for AI crawlers), and enumerates the crawler set (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, ~30 others). No sibling tool touches robots.txt, so an agent can route here unambiguously.

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 implied by the purpose: check crawler permissions for a site. There is no explicit when-to-use/when-not statement and no reference to the sibling tools (e.g. generate_llms_txt), so the agent must infer that this is the diagnostics step rather than a content-generation step.

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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