Search documentation for LangChain, LlamaIndex, and OpenAI using web search
Single tool 'get_docs' has a reasonable name and description, but critical implementation issues undermine quality. The tool description (89 chars) is below the 194-char baseline and lacks key details about prerequisites (SERPER_API_KEY required), error modes, and output structure. Input schema is present with types and descriptions, but the implementation contains a fatal bug: variable 'text' is used without initialization in the loop (line 'text += await fetch_url(result["link"])'), causing a NameError at runtime. The tool accepts free-form 'library' strings despite only supporting 3 values, should be an enum. No output schema is documented. Error handling is minimal: ValueError for unsupported library, but no guidance on recovery or handling search failures. The tool makes external API calls (Serper, web scraping) without documented rate limits, timeouts, or retry logic beyond a single timeout catch. No pagination or result limiting despite potentially returning large documents. Security concern: SERPER_API_KEY is injected via environment (good), but the tool does not validate or sanitize the 'query' parameter before passing to Serper API, risking injection attacks.
Search the docs for a given query and library. Supports langchain, openai, and llama-index.
Fatal runtime bug: variable 'text' used without initialization in loop (line 'text += await fetch_url(result["link"])'), will raise NameError on first iteration
'library' parameter accepts free-form strings but only 3 values are valid (langchain, llama-index, openai). Should be declared as enum to prevent hallucinated values and guide LLM selection.
No output schema documented. LLM cannot predict return type (string? structured object? list?). Tool description does not specify what fields or structure to expect.
Tool description (89 chars) lacks critical context: does not mention SERPER_API_KEY requirement, does not explain when to use vs alternatives, does not document output format or limits. Below 194-char baseline.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 41 | 2026-07-28+ | v2 |
No input validation or sanitization on 'query' parameter before passing to external Serper API. Vulnerable to injection attacks. No rate limiting or result capping despite potentially returning large documents.