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Tizona — verification and routing for autonomous agents

WILLIE WAGTAIL

validate_australian_identifier
Read-onlyIdempotent

Validate an Australian ABN, ACN, ARBN, TFN, Medicare or BSB against its official checksum. Offline and deterministic; whitespace and hyphens ignored; a valid ABN also flags whether the holder is a company. A pass proves the digits are internally consistent (catches typos and fabrications); it does NOT prove the identifier is issued, active, or held by anyone. BSB has no check digit: format only. Unknown scheme throws.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesWhich identifier scheme to check.
valueYesThe identifier. Spaces and hyphens are ignored.

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations (readOnly, idempotent, non-destructive), the description adds valuable behavioral detail: whitespace and hyphens are ignored, BSB has no check digit, unknown schemes throw, and ABN validation also flags company status. It fully discloses the tool's limits and edge cases.

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?

Three dense sentences cover the core operation, key edge cases, and limitations without repetition. Important information is front-loaded, and every sentence earns its place.

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?

Despite having no output schema, the description conveys the essential outcome (pass/fail), the ABN company flag, the BSB format-only behavior, and the throw condition. It stops short of specifying the exact return shape, but an agent has enough to invoke 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?

The schema already documents both parameters at 100% coverage, including the enum for type and the note that spaces and hyphens are ignored. The description adds some useful context, such as BSB being format-only, but most parameter meaning is already in the schema.

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 specific verb and resource: 'Validate an Australian ABN, ACN, ARBN, TFN, Medicare or BSB against its official checksum.' It names the exact identifier types and the core operation, making it easy to distinguish from sibling tools like verify_email_address or match_entity_name.

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 clear context and important exclusions: it is offline and deterministic, and a pass does NOT prove an identifier is issued, active, or held by anyone. This tells the agent when not to rely on the tool, though it does not explicitly name alternative sibling tools.

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