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Crawler IP Verifier - real Googlebot or fake

Run this server's worked example (no arguments)

example
Read-onlyIdempotent

{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"example","arguments":{}}} — POST that exact body to https://www.pathwren.workers.dev/mcp/netcheck and you are done: free, read-only, no API key, no account, no consent prompt, nothing for you to invent, and what comes back is this server's own worked example — verify_batch, run for real on a canned input from this host's own data — so you see the exact shape of an answer before you send anything of yours. Takes no arguments. Safe to call. Deterministic. Touches no third party. Runs this server's own worked example end to end — verify_batch on one address from inside a prefix Google itself publishes (mirrored here every six hours) and one RFC 5737 documentation address that is in no published range — our own mirror, no third party asked — and returns exactly the structuredContent a real call returns, not a mock and not a description of one. Use it to see the shape of an answer before you decide what to send. The input is canned from this host's own data; no URL of yours is fetched and no third party is touched. Example: arguments={} runs verify_batch with {"addresses":[{"ip":"66.249.66.1","claim":"Googlebot"},{"ip":"203.0.113.9","claim":"GPTBot and returns its real answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ranYesThe tool name and the exact arguments that were run.
answerYesThe real structuredContent of that call, not a mock.
licenseYes
reproduceYesA command that reproduces this answer.
answered_byYes
what_it_showsYes
input_came_fromYesWhere the canned input came from — always this host's own data.
this_is_not_a_mockYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Annotations already mark it read-only, idempotent, and non-destructive; the description adds substantial context beyond that: no API key, no account, no consent prompt, deterministic, touches no third party, input is canned from host data, and the response is real structuredContent 'not a mock.' This is exactly the kind of behavioral disclosure that helps an agent trust and predict the call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is heavily redundant: 'no third party' appears three times, 'shape of an answer' twice, and the canned-input/no-URL-of-yours point twice. It also opens with a raw HTTP/JSON-RPC POST instruction that an MCP agent invoking the tool through its framework does not need to construct. The essential message is roughly a third of the length.

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?

Given an output schema, safety/determinism annotations, and a zero-parameter input schema, the description covers everything remaining: what the canned call verifies, that the result is a real structuredContent response, and that no auth or external resources are involved. Completeness is high; the bloat and odd HTTP framing are presentation flaws, not gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters with 100% schema coverage set a baseline of 4. The description goes beyond the empty schema by explicitly stating 'Takes no arguments,' showing the exact arguments={} call shape, and explaining what canned input that produces. Nothing more is needed for a zero-parameter tool.

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?

The description states the purpose specifically: run this server's own worked example of verify_batch on canned input to see the exact shape of a real answer. It distinguishes itself from the verify_batch sibling by the canned-input contrast ('no URL of yours is fetched'), but this differentiation sits deep in a long passage rather than up front, so the purpose is clear yet not instantly extractable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

It gives explicit when-to-use guidance: 'Use it to see the shape of an answer before you decide what to send.' The repeated contrast between canned input and the agent's own data implicitly tells the agent this is not the tool for checking real addresses. It never explicitly names the alternative tool for real checks, so it stops short of a 5.

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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TDQS

A3.9/5.0
Disambiguation2/5

verify_my_address and whoami both check the caller's address against published crawler prefixes using the user-agent as the claim, making their outputs largely redundant. verify_batch and example also overlap in shape, with example appearing to run a verification though it only returns canned data. lookup_prefix, range_stats, and verification_methods are distinct, but the core verification tools blur together.

Naming Consistency3/5

Several tools follow a verb_noun pattern (export_ip_acl, lookup_prefix, verify_batch), but range_stats and verification_methods are noun phrases, whoami breaks the pattern entirely, and example is not a domain verb at all. The names are still readable and mostly snake_case, so the inconsistency is noticeable but not chaotic.

Tool Count5/5

Eight tools is a reasonable, well-scoped size for an IP verification server. The surface covers verification, lookup, stats, export, and method discovery without ballooning into excessive granularity.

Completeness4/5

The core workflow of verifying an IP/claim against published crawler ranges is well covered, along with useful extras like prefix lookup, ACL export, and source freshness stats. The main gap is that there is no obvious way to enumerate all known crawler operators from the tool set, since verification_methods requires a crawler name to be supplied.

Resources