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nouel

by io.github.pipeworx-io

Search Laureates

search_laureates
Read-onlyIdempotent

Search Nobel Prize laureates by name and/or category (e.g., "Physics", "Medicine", "Literature"). Returns biography, prizes won, and award motivation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFull or partial name of the laureate (e.g., "Einstein", "Marie Curie")
categoryNoNobel Prize category: phy (Physics), che (Chemistry), med (Medicine), lit (Literature), pea (Peace), eco (Economics)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesTotal number of laureates matching the search
laureatesYesList of Nobel Prize laureates

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds return field information (biography, prizes, motivation) but no additional behavioral traits. No contradictions with 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 a single, front-loaded sentence that efficiently states the tool's purpose and return content. Every word earns its place with no redundancy.

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 search tool with rich annotations and an output schema, the description is complete. It covers what the tool searches and what it returns, though it omits usage guidance relative to siblings.

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 coverage is 100% with parameter descriptions and examples. The description only repeats the parameter usage ('by name and/or category') without adding new meaning beyond the schema.

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 tool searches Nobel Prize laureates by name and/or category, with a specific verb and resource. It does not explicitly differentiate from sibling tools like get_prizes_by_year, but the purpose is unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives such as get_prizes_by_year or entity_profile. The description only implies usage for searching laureates, with no exclusions or alternative recommendations.

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
Disambiguation3/5

Several tool groups have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_grounded, deep_research all query Pipeworx data; polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker all analyze prediction markets). Descriptions help distinguish them, but the boundaries are not always clear.

Naming Consistency3/5

Tool names are mostly descriptive but mix conventions: some are verb_noun (list_subscriptions, get_prizes_by_year), others are noun_verb (pipeworx_feedback, polymarket_edges), and a few are single verbs (remember, recall). No strong pattern, but still readable.

Tool Count4/5

With 32 tools, the server covers a wide range of domains (data querying, prediction markets, company analysis, Nobel prizes, memory, subscriptions). The count is high but each tool serves a specific purpose, justifying the breadth.

Completeness4/5

The tool set provides comprehensive coverage for its stated domains: data retrieval, entity resolution, comparison, monitoring, and memory. Minor gaps exist (e.g., no direct bet placement on Polymarket), but core workflows are well-supported.

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