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Read-onlyIdempotent

Search the Trove collection by keyword. Returns matching items with ids (pass an id to work), titles, creators/sources, dates and links. Requires your own free Trove API key, passed as _apiKey.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage (1-based, default 1).
limitNoMax results (1-100, default 20).
queryYesKeyword(s).
_apiKeyYesYour own Trove API key (BYO — Pipeworx does not supply one). Free at trove.nla.gov.au: create an account, then Create an API key.

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the description's job is to add context beyond safety. It does: it specifies that results include ids, titles, creators/sources, dates, and links, and notes that ids can be passed to 'work'. It also highlights the BYO API key requirement, which is operationally useful. It does not contradict the annotations.

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 two sentences with no wasted words. The core action is front-loaded in the first sentence, and the second sentence efficiently covers return value details and the authentication requirement. 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 simple read-only keyword-search tool with strong annotations and 100% schema coverage, the description provides enough operational detail: what is searched, what is returned, and how authentication works. It does not cover pagination behavior or rate limits, but the schema already describes page/limit, and no output schema exists to contradict. Slightly more context about result shape or error handling would push it higher, but nothing critical is missing.

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%, so the schema already documents all four parameters clearly. The description reiterates the API-key requirement and mentions 'keyword', but it does not add meaningful semantic detail beyond the schema. A baseline score of 3 is appropriate because the schema carries the load.

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 clearly states the action ('Search the Trove collection by keyword') and the resource (the Trove collection), and lists what is returned. It gives the agent a concrete idea of what the tool does. However, it does not explicitly differentiate itself from the sibling tool 'search_within', so it stops short of a top score.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives such as search_within or deep_research. It states the API-key requirement but does not explain when this tool is preferable or when another tool should be chosen. An agent must infer usage from the name and context.

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

A3.7/5.0
Disambiguation3/5

Several tools have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_grounded, deep_research all answer questions; entity_profile, compare_entities, recent_changes all cover company data). Descriptions provide distinctions, but an agent can easily misselect, especially between the Pipeworx query tools.

Naming Consistency2/5

Tool names follow mixed conventions: some use verb_noun (list_subscriptions, unsubscribe), others use descriptive phrases (ai_visibility_check, polymarket_arbitrage) or nouns (deep_research, entity_profile). No consistent pattern, making it harder to predict tool names.

Tool Count2/5

With 32 tools covering diverse domains (data lookups, prediction markets, memory, subscriptions), the server feels overloaded. The scope would be better served by splitting into smaller, focused servers (e.g., data query, prediction market, memory). Many tools are peripheral to a core purpose.

Completeness4/5

The tool surface is fairly comprehensive within its domains: CRUD for memory (remember/recall/forget), subscription management, extensive data query options, and prediction market analysis. Minor gaps exist (no update memory, no direct trading), but agents can work around them.