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check_ai_crawler_access

check_ai_crawler_access

Request a page as GPTBot, ClaudeBot, PerplexityBot and other AI crawlers and compare with a normal browser to find robots.txt or CDN blocks.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "check_ai_crawler_access"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesFull URL, for example https://example.com/page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It usefully discloses that real outbound requests are made while impersonating named crawler user-agents and then compared against a browser baseline, which implies read-only network behavior and that the target server will see the crawler requests. It says nothing about timeouts, how many crawlers are probed, whether requests respect or bypass robots.txt, or what happens when a CDN returns a challenge page.

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?

A single well-formed sentence with no filler, and the most decision-relevant content (which crawlers are impersonated and what the check detects) is front-loaded.

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?

With no output schema, the description should convey what the response contains, but it only hints at 'blocks' without stating whether results are per-crawler status codes, verdicts, or raw responses. For a simple one-parameter tool this is adequate but leaves an agent guessing about return shape.

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?

Only one parameter exists and schema description coverage is 100%, so the schema already documents 'url' with an example. The description adds nothing about constraints such as the target needing to be publicly reachable, so the baseline of 3 applies.

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?

States a specific action (request a page as GPTBot, ClaudeBot, PerplexityBot and other AI crawlers) plus the comparison against a normal browser and the goal (find robots.txt or CDN blocks). That is far more than a restatement of the name, though it never names the near-neighbour siblings view_as_crawler or test_robots to disambiguate.

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: use it when you suspect AI crawlers are being blocked. There is no explicit when-to-use/when-not guidance and no routing away from overlapping tools such as view_as_crawler, test_robots, or check_common_crawl, so an agent must infer the boundary itself.

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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