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Crawler IP Verifier - real Googlebot or fake

Paste-ready allowlist or denylist

export_ip_acl
Read-onlyIdempotent

FIRST CALL, needs nothing: {"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"no_arguments_report_the_crawler_ip_ranges_this_host_mirrors","arguments":{}}} — Turn a set of operators into a config you can paste: nginx geo, nginx allow/deny, Apache, HAProxy, a Cloudflare firewall expression, an ipset script, a Caddy matcher, or a plain CIDR list. Every export carries a provenance header naming each source URL and the mirror time, and reports the rule cost. Example: operators='all', format='cidr-list', action='allow'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoDefaults to allow.
formatNoOutput format. Defaults to cidr-list.
operatorsNoSource slugs, or "all". Defaults to every mirrored source.
ip_versionNoDefaults to both.
variable_nameNoVariable/set name for nginx geo and ipset. Defaults to ai_crawler.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context by stating every export includes a provenance header with source URLs and mirror time, and reports rule cost.

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?

The description is compact and every clause earns its place, but the embedded JSON-RPC blob makes it slightly dense and harder to parse at a glance. Still, it front-loads the critical prerequisite call before the tool purpose.

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 no output schema, the description compensates by specifying the nature of the output (paste-ready config, provenance header, rule cost) and the required first call. It does not detail per-format output structure, but that is not essential for invoking the tool correctly.

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 all parameters have descriptive text and enums, so the schema carries the semantic load. The description adds only an example (operators='all', format='cidr-list', action='allow') that largely duplicates the schema example; no deeper param semantics are provided.

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?

The description clearly states the tool transforms a set of operators into a paste-ready config and enumerates the exact formats (nginx geo, allow/deny, Apache, HAProxy, Cloudflare, ipset, Caddy, CIDR). It also distinguishes itself from the prerequisite sibling by specifying 'FIRST CALL, needs nothing'.

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?

It explicitly instructs the agent to call no_arguments_report_the_crawler_ip_ranges_this_host_mirrors first, embedding the exact JSON-RPC payload, and provides a concrete invocation example. This leaves no ambiguity about the order of operations.

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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