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Quotes

by io.github.pipeworx-io

Search Quotes

search_quotes
Read-onlyIdempotent

Search quotes by substring. Matches both canonical text and known popular paraphrases — searching for 'protest' finds Hamlet's 'The lady doth protest too much, methinks' even though the popular form 'Methinks the lady doth protest too much' is what most people remember.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (default 10, max 25).
queryYesSubstring to search for (case-insensitive).
author_idNoOptional author filter.
verified_onlyNoIf true, exclude misattributed quotes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesTotal number of matching quotes
queryYesThe search query that was executed
quotesYesArray of matching quotes (up to limit)

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds valuable context about matching both canonical text and popular paraphrases, which is a key behavioral trait not covered by 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?

Two sentences that are front-loaded with the verb and resource, followed by a concise illustrative example. No unnecessary words or repetition.

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?

The description is adequate for a tool with 4 parameters and an output schema. It explains the unique paraphrasing feature. However, it could briefly mention that quotes are returned (though output schema covers this).

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 descriptions for all 4 parameters. The description adds examples but no additional meaning beyond the schema. Baseline 3 is appropriate as the schema already documents parameters well.

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 clearly states 'Search quotes by substring' and provides a concrete example ('protest' finding Hamlet's quote), specifying verb and resource. It distinguishes itself from sibling tools like check_attribution or random_quote by highlighting the paraphrasing feature.

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 implies usage for searching quotes with substring matching and paraphrasing, but does not explicitly state when to use this tool versus alternatives (e.g., check_attribution, search_within). No exclusions or sibling comparisons are provided.

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

The tool set includes multiple similar tools (e.g., three ask_pipeworx variants, several Polymarket tools) that could cause agent confusion. While each has a distinct purpose, the boundaries are subtle and descriptions lean heavily on jargon, making misselection likely.

Naming Consistency4/5

All tool names use snake_case consistently. Most follow a noun_verb or verb_noun pattern, but some (e.g., ai_visibility_check, bet_research) start with a subject rather than an action, breaking a strict verb-first convention.

Tool Count2/5

With 40 tools, the server feels overloaded. The name 'Quotes' suggests a narrow focus, yet the tool set spans fact-checking, company research, prediction markets, and more. Many tools are highly specialized or meta-tools, inflating the count without clear necessity.

Completeness3/5

The server covers a wide range of use cases, from quotes and literature to financial data and prediction markets. However, there are noticeable gaps in core areas (e.g., basic CRUD for quotes beyond search and random), and the sheer breadth creates dead ends for deep workflows.

Resources