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Abn Lookup

Abn Search

abn_search
Read-onlyIdempotent

BYOK. Search the Australian Business Register by entity or business name and return ranked ABN matches. Requires your own ABR web-services GUID via _apiKey (register free at https://abr.business.gov.au/Tools/WebServices). Example: abn_search({ name: "Frame Promotional Products", _apiKey: "your-guid" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesEntity or business name to search for, e.g. "Frame Promotional Products".
stateNoOptional Australian state/territory abbreviation to filter results client-side (e.g. "NSW", "VIC"). Applied after the ABR search returns, matched against each result's state field when present.
_apiKeyYesYour ABR web-services GUID. Requires an API key — this pack is BYOK: there is no platform key. Register free at https://abr.business.gov.au/Tools/WebServices (accept the Web Services Agreement to receive a GUID by email).
maxResultsNoMaximum number of matches to return (ABR default is small; pass a higher number for more). Default 20.

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish that the tool is read-only, idempotent, and non-destructive. The description adds non-obvious behavioral context: this is a BYOK tool that calls an external ABR web service, so there is no platform-managed key. It also says results are ranked, though it does not explain ranking details, rate limits, or error behavior.

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 compact and front-loaded: it starts with the critical BYOK caveat, states the core action, explains the key requirement with a registration link, and finishes with a concrete example. 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?

For a four-parameter tool with rich schema coverage and safety annotations, the description plus schema cover the prerequisite, required parameters, optional filtering, and the general result type. The main missing contextual items are more detail about the return fields and an explicit comparison against abn_lookup, so it is not fully complete.

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 each parameter already has a useful description, so the baseline applies. The description's example demonstrates the required name and _apiKey combination, which adds a little clarity, but it does not add substantial meaning beyond what the schema already provides.

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 names a specific resource (Australian Business Register) and a concrete verb (search by entity/business name and return ranked ABN matches), and it includes a working example. It is not a tautology and is clear enough to know what the tool does, but it does not explicitly differentiate it from the sibling abn_lookup tool.

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?

The description clearly states the prerequisite: the caller must provide their own ABR web-services GUID and register for a key. However, it does not explicitly say when to use this tool instead of alternatives such as abn_lookup, nor does it give any when-not-to-use guidance.

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

A3.8/5.0
Disambiguation2/5

Several tools have unclear or overlapping boundaries: ask_pipeworx and ask_pipeworx_beta are explicitly identical right now, while ask_pipeworx, deep_research, and validate_claim all handle factual lookup/research tasks. The five polymarket_* tools plus bet_research also overlap enough that an agent could easily pick the wrong entry point despite verbose descriptions.

Naming Consistency3/5

All names are snake_case and generally descriptive, but conventions are mixed: some are verb-first (ask_pipeworx, resolve_entity, validate_claim), some are noun-first (abn_lookup, entity_profile, polymarket_edges), and prefixes like pipeworx_ and polymarket_ are used inconsistently. It is readable but not a clean, predictable pattern.

Tool Count2/5

34 tools is far too many for a server named 'Abn Lookup' — most of the surface is a broad data-research platform with prediction-market analysis, memory, subscriptions, feedback, and web utilities. The count could fit a large platform, but under this server name and with several near-duplicate entry points, it feels bloated.

Completeness4/5

For a read-only lookup/research server, coverage is strong: ABR lookups, entity resolution, single-query research, grounded verification, deep research, company profiles, comparisons, change feeds, prediction-market analysis, memory, and subscriptions are all represented. Minor gaps exist (e.g., no ACN search-by-name, no order execution), but no core workflow dead-ends.