Three tools with complete input schemas and reasonable descriptions. All tools follow verb_noun naming (search_gifs, trending_gifs, random_gif). Descriptions are 100-180 chars, within baseline range (p10=34, p90=392). However, output schemas are not documented, LLMs cannot predict response structure. Parameter descriptions are present but lack constraints (e.g., limit 1 - 25 not enforced in schema). No error handling guidance. API key hardcoded in source (critical security issue). Tools are read-only, reducing risk, but composition and chaining support is minimal.

• Document output schema for all three tools. Example: 'Returns object with fields: id (string), title (string), url (string), rating (string), gif_url (string), fixed_height_url (string), downsized_url (string), width (number), height (number).'
• Move API key to environment variable (process.env.GIPHY_API_KEY). Never commit secrets to source control.
• Add min/max constraints to schema: limit property should include 'minimum': 1, 'maximum': 25.
• Enhance error messages with recovery guidance. E.g., 'Giphy API returned 429 (rate limited). Wait 60 seconds and retry.' or 'No results found for query. Try a simpler or more general search term.'
• Add offset/limit pagination to search_gifs to support large result sets. Return total_count so agents know if more results exist.