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Is My Site in AI Training Data?

check_common_crawl

Check whether a domain appears in the latest Common Crawl crawls (a major source of LLM training data) and whether robots.txt blocks CCBot.

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": {
      "domain": "<domain>"
    },
    "name": "check_common_crawl"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYesDomain, for example example.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the underlying data sources (latest Common Crawl crawls) and that robots.txt rules for CCBot are evaluated, which is useful behavior beyond the name. However, it says nothing about which crawl indices are consulted, how current 'latest' is, latency, or how definitive a negative result is.

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?

One compact sentence, front-loaded with the core check and followed by the robots.txt qualifier. Nothing is wasted, though the two distinct checks bundled into one sentence slightly blur the structure.

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 and no annotations, so the description would need to explain what a result contains — e.g. which crawls matched, whether CCBot is blocked, and how to interpret partial hits. The description stops short of that, leaving the agent unsure what comes back for a domain with no matches.

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 100% and the single domain parameter is already documented with an example in the schema. The description adds no format constraints (subdomain handling, scheme stripping, trailing paths) beyond what the schema states, so baseline 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 verb and resource — checking whether a domain appears in the latest Common Crawl crawls — and adds the parenthetical that Common Crawl is a major LLM training-data source, so the agent understands the intent. It is distinguishable from most siblings (page speed, redirects, schema) though the boundary with check_ai_crawler_access is only partially implied by the CCBot mention.

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 this when you want to know if a site is ingested into AI training corpora. There is no explicit guidance on when to prefer check_ai_crawler_access or test_robots instead, even though the robots.txt/CCBot part appears to overlap with those siblings.

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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