Single tool 'search_archive' has a basic description and partial schema. Description is adequate (89 chars, within 10-1024 range) but lacks WHEN to use it and prerequisites. Input schema defines 'query' and 'limit' with types and descriptions, meeting minimum requirements. However, NO output schema is documented, LLMs cannot plan downstream calls or extract structured data. Parameter 'limit' lacks range constraints (min/max). No error handling guidance. Tool naming follows verb_noun pattern (search_archive) which is correct. Overall: meets bare minimum for a single read-only tool but lacks production-grade polish.

• Document the output schema explicitly. Example: 'Returns {results: [{title, forum, published_at, excerpt, purchase_url, price_atomic}], total: number, returned: number}'. This enables LLMs to extract and chain data.
• Add numeric constraints to 'limit' parameter: 'Maximum number of results to return (1-100, default 20)'. Prevents absurd values.
• Expand tool description to 150-200 chars: 'Search the Comrades of War forum archive for posts matching a query. Use this to discover relevant discussions before purchasing full pages. Returns paginated results with titles, excerpts, and purchase URLs.'
• Add error handling guidance: 'If no results found, try broader keywords or check query syntax. If API returns 402, insufficient credits, see purchase_page tool.'
• Expose a fetch_page or get_page tool to complete the workflow: search → select result → fetch full content. Single-tool servers cannot satisfy real agent tasks.