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Strong tool naming (all verb-noun format) and comprehensive parameter schemas with proper types and descriptions. All 10 tools have clear, actionable descriptions (avg 156 chars, within 10-1024 baseline). Input schemas are well-structured with enums where appropriate (find_rhymes, find_related_words). However, output schemas are completely undocumented, LLMs cannot plan downstream calls or extract structured data. No error handling guidance, no recovery paths, and no documentation of what fields are returned. Missing tool annotations (readOnlyHint, idempotentHint) despite all tools being read-only. Parameter descriptions are solid but lack format constraints (e.g., 'max' ranges stated but not validated). No pagination support documented despite tools returning lists.
Get word suggestions for a partial input. Includes intelligent spelling correction and phonetic fallbacks when exact prefix matches aren't found.
Find adjectives commonly used to describe a noun. Based on Google Books Ngrams data. Example: 'ocean' → deep, blue, vast, pacific.
Find antonyms (words with opposite meanings) for a given word using WordNet relationships.
Find words matching a spelling pattern with wildcards. Use '*' for any number of characters, '?' for exactly one character. Examples: 't??k' matches talk/tank/tick, 'un*able' matches unable/unforgettable.
Find nouns commonly described by an adjective. Based on Google Books Ngrams data. Example: 'yellow' → sun, light, fever, pages.
Find words semantically related to the input. Can find words by meaning similarity, statistical associations (triggers), or hierarchical relationships (hypernyms/hyponyms).
No output schemas documented. LLMs cannot infer what fields are returned (e.g., does find_synonyms return word strings, objects with scores, or structured definitions?). This forces agents to guess and wastes tokens on trial-and-error parsing.
No error handling guidance. If Datamuse API returns 404 (word not found) or 429 (rate limited), the tool provides no recovery hint. LLMs cannot distinguish retryable from fatal errors.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | C | 60 | 2026-07-28+ | v2 |
Find words that rhyme with a given word. Supports perfect rhymes and near-rhymes. Useful for poetry, songwriting, and creative writing.
Find words that sound similar to the input. Useful for spelling correction, finding homophones, creating puns, or phonetic matching.
Find synonyms (words with similar meanings) for a given word. Uses WordNet and corpus data. Optionally bias results toward a specific topic.
Get detailed information about a word including: definitions, part of speech, syllable count, pronunciation (IPA), and usage frequency.
Missing tool annotations. All 10 tools are read-only (no side effects), but readOnlyHint is not set. This prevents clients from optimizing caching, parallelization, or safety policies.
No pagination or result-limiting strategy documented. Tools accept 'max' parameter but no guidance on what happens if results exceed max, whether there's a next_cursor, or how to handle large result sets.
Parameter 'max' lacks validation constraints in descriptions. Baseline rubric requires 'Specify minimum and maximum for numeric parameters.' Current descriptions state '1-50' but do not clarify what happens if LLM passes 0, -1, or 1000.