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Tizona — verification and routing for autonomous agents

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verify_ai_crawler
Read-onlyIdempotent

FREE. Is a crawler who it claims to be, by the strongest available method. CRYPTOGRAPHIC (best): pass a Web Bot Auth signature (RFC 9421) with its signatureInput, signatureAgent and url — we fetch the operator's published key and verify it (proof of key control, not just network origin). NETWORK: pass a source ip with userAgent/claimed — we check the operator's published IP ranges (OpenAI, Anthropic, Google, Perplexity, Bing, Apple, DuckDuckGo, Common Crawl, Mistral, Kagi, and more). Returns verified, spoofed, unrecognised, or indeterminate; never calls a claim spoofed when it merely cannot be checked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipNoThe source IP address to verify (IPv4 or IPv6). Used for the network-range check.
urlNoThe request URL — required for a Web Bot Auth signature check (rebuilds the signed components).
claimedNoOptional explicit identity key (e.g. "gptbot", "bingbot", "googlebot") instead of a user-agent.
signatureNoThe request's Signature header value (Web Bot Auth / RFC 9421).
userAgentNoThe User-Agent string the request presented. Used to infer the claimed identity.
signatureAgentNoThe request's Signature-Agent header value — the operator key-directory URL.
signatureInputNoThe request's Signature-Input header value.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate a read-only, idempotent, non-destructive tool, and the description adds substantial behavioral detail beyond that: proof-of-key control rather than network origin, the operator key-directory fetch, the IP-range check, and the four possible return statuses. It also explicitly avoids false positives on spoofing, which is valuable operational context.

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?

The description is longer than average but every sentence contributes: cost, purpose, both verification methods, required inputs, supported operators, return statuses, and a key caveat. It is well-labelled and front-loads the core purpose before detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with seven optional parameters, no required fields, and no output schema, the description provides enough to invoke it correctly: the two mutually relevant input combinations, the meaning of each verification mode, and the return status vocabulary. It covers both invocation modes and the tool's limitations.

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?

Schema coverage is 100%, so the schema already documents each parameter. The description adds value by grouping parameters into the two verification flows: signatureInput/signatureAgent/url for cryptographic, and ip/userAgent/claimed for network. This clarifies how the parameters work together beyond individual schema entries.

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 states a precise verb and resource: verify whether a crawler is who it claims to be, via cryptographic or network-range evidence. It distinguishes itself from sibling access-focused tools and clearly names the two verification modes. The phrase 'never calls a claim spoofed when it merely cannot be checked' adds a clear behavioral boundary.

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?

The description gives explicit input-selection guidance: use cryptographic verification when a Web Bot Auth signature is available, and network verification when only an IP/user-agent is available. It does not explicitly name alternative sibling tools or state when not to use this tool, but the context for invocation is clear.

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

A4.2/5.0
Disambiguation4/5

Most tools map cleanly to a distinct action and resource: single-URL lookup, batch triage, watch/pull lifecycle, and the entity-name operations are each clearly separated. The only likely confusion is between check_ai_crawler_access and verify_ai_crawler, but the descriptions draw that boundary well.

Naming Consistency4/5

Tool names overwhelmingly follow a verb_noun convention such as calculate_gst, verify_email_address, and normalise_entity_name. The non-verb award_pay_rate and the slightly awkward total_invoice and pull_ai_crawler_watch are minor deviations from an otherwise consistent pattern.

Tool Count5/5

Fourteen tools sits comfortably in the well-scoped range, and each cluster earns its place: entity matching, Australian compliance, email verification, and AI crawler access all have distinct tool groupings. Nothing feels redundant, and the count reflects the server's broad verification purpose without bloat.

Completeness4/5

The surface covers the core verification workflows well, including batch and watch variants for crawler access and a full set of entity-name operations. The main gap is that the server name promises routing but the tools mostly verify and triage rather than actively route; minor lifecycle niceties like unwatching are also absent.

Resources