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aaddyy_synonym_finder

Identify synonyms and multiple meanings for words, returning key-value pairs of meanings and matching terms for vocabulary expansion or content generation.

Instructions

Find synonyms and multiple meanings for words, returning key-value pairs of meanings and their synonyms (~10 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
similarWordsCountYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the return format ('key-value pairs of meanings and their synonyms') and the cost (~10 credits), which annotations would normally not cover. However, it omits any permission, rate-limit, or failure-mode information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the purpose leads and the cost is appended. Efficient, though it could carry a clause clarifying parameters at nearly no length cost.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, and the description does provide the return shape, which is the important part. But with 0% schema coverage and no annotations, the unexplained 'topic'/'similarWordsCount' semantics leave a real gap for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It implies 'topic' means a word and that the result set is synonyms, but it never resolves the odd naming of 'topic' (word vs. subject) or defines what 'similarWordsCount' controls (meanings vs. synonyms per meaning).

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?

States a specific verb and resource ('Find synonyms and multiple meanings for words') and describes the return shape. No sibling tool performs synonym lookup, so differentiation is inherent, though it doesn't explicitly say so.

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?

Provides no when-to-use guidance, no conditions or exclusions, and never references alternatives (e.g., paraphraser or grammar_checker, which are adjacent siblings). The agent must infer usage purely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.