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Content extraction and research orchestration tools — extract clean text/markdown from URLs using trafilatura with optional Playwright fallback for JS-rendered pages, and compile research findings into structured markdown reports.
interdeep defines 4 tools with complete input schemas and descriptions. All tools are READ_ONLY and follow a sensible composition pattern (extract → batch extract → compile report → status). However, there are significant gaps: (1) no output schemas documented, LLMs cannot infer what fields to expect from responses; (2) parameter descriptions are minimal and lack constraints or format guidance; (3) no error handling guidance, responses use generic JSON error wrappers without actionable recovery steps; (4) no pagination, rate limits, or output size caps documented despite tools potentially returning large HTML/markdown content; (5) tool naming is clear but descriptions lack context on WHEN to use each tool vs. alternatives. The implementation is functional but falls short of production LLM-agent standards.
Compile research findings and sources into a structured markdown report with citations.
Extract content from multiple URLs concurrently. Returns a list of extraction results.
Extract clean text/markdown content from a URL using trafilatura (fast) with optional Playwright fallback (JS-rendered pages).
Show extraction capabilities and companion plugin readiness.
No output schemas documented for any tool. LLMs cannot infer response structure (field names, types, presence of error details) and must guess or fail mid-chain.
Parameter descriptions lack actionable constraints. 'timeout in seconds' gives no min/max; 'max_concurrent' has default=5 but no upper bound stated. LLMs may pass absurd values (e.g., timeout=999999, max_concurrent=10000) causing hangs or resource exhaustion.
No error handling guidance. Tool handlers return generic JSON {'error': msg} with no recovery hints. E.g., 'Extraction failed: ConnectionError' tells LLM nothing about whether to retry, call a fallback, or abort.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 57 | <=2025-11-25 | v2 |
| 2026-03-09 | D | 57 | - | v1 |
No output size limits or pagination documented despite tools potentially returning megabytes of HTML/markdown. extract_batch_async with 100 URLs could produce 100MB+ response, exhausting context windows. No mention of max results or truncation behavior.
Tool descriptions lack selectivity context. extract_content vs extract_batch distinction is obvious, but description of extract_content does not explain when Playwright JS-rendering fallback triggers vs. when trafilatura is sufficient. No guidance on what content types work best.
compile_report's findings and sources parameters use loose object types with optional properties ('confidence', 'relevance' are untyped strings). No enum constraints shown; no documentation of expected values (e.g., is confidence 'high'|'medium'|'low' or a percentage?).
research_status description is vague ('companion plugin readiness'). No output schema or guidance on what capabilities are reported. Tool reads as diagnostic but lacks clear use case for an agent.