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UK Data: Country facts and words

word_pronunciation

Read-onlyIdempotent

Retrieve the phonetic IPA spelling and audio links for an English word. Helps with correct pronunciation and spoken language. Data from the Free Dictionary API via Wiktionary (CC BY-SA). (cost: 1 credit)

Input Schema

NameRequiredDescriptionDefault
wordNostring, required, the English word to pronounce

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds genuinely new context: the upstream source (Free Dictionary API via Wiktionary, CC BY-SA licensing) and a per-call cost of 1 credit, which matters for budgeting. It stops short of describing fallback behavior for unknown words or the shape/quantity of audio links.

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 short sentences, front-loaded with the capability before the attribution and cost note. The attribution/licence line is slightly incidental but legitimately useful for provenance; nothing is padded.

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?

With no output schema, the description carries the burden of describing returns and does so (IPA spelling plus audio links), and it discloses cost and data source. An agent can call this correctly; only edge-case behavior for words with no entry is unaddressed.

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% for the single 'word' parameter, so the baseline is 3. The description only reinforces that the word should be English, adding no format guidance (e.g. casing, phrases vs single tokens, handling of misspellings).

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 names a specific verb and resource ('Retrieve the phonetic IPA spelling and audio links for an English word') and even specifies what the payload contains. It does not explicitly distinguish itself from nearby siblings such as word_definition or words_sounding_like, so it falls short of the top mark.

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?

'Helps with correct pronunciation and spoken language' implies the use case but gives no explicit when-to-use or when-not-to-use guidance. It never points an agent to word_definition for meaning or words_sounding_like for homophones, leaving the routing decision to inference.

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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