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anzy-renlab-ai

Pronounce / pronounce-mcp

search_pronunciations

Search the dictionary by partial word or category match to find pronunciations when exact spelling is unknown or when browsing entries by category.

Instructions

Search the dictionary by partial word or category match.

Matches substrings against the entry's word and category only — the search index (/api/words.json) carries no notes or source text, so a query like "Kelsey" will NOT surface kubectl. To read an entry's notes, look it up with pronounce.

Returns a list of matching entries with word, slug, category, and confidence. Use this when the exact spelling is unknown or when browsing entries by category.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses search index limitation (no notes/source text) and return fields. For a search tool, this is clear and sufficient.

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?

Three paragraphs, each purposeful. Front-loaded with main purpose. Could be slightly more concise but no waste.

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

Completeness5/5

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

Given 2 params with no schema descriptions and an output schema exists, description explains search scope, limitation, return fields, and suggests alternative. Complete for a search tool.

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 0%, so description must compensate. Describes 'query' as requiring substring matching but does not mention 'limit' parameter. Adds value for query behavior but incomplete for limit.

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?

Clearly states it searches dictionary by partial word or category match. Distinguishes from siblings by noting it does not surface notes/source text, and that 'pronounce' should be used for notes.

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

Usage Guidelines5/5

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

Explicitly says 'Use this when the exact spelling is unknown or when browsing entries by category.' Also provides an alternative tool ('pronounce') for reading notes.

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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