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Three tools with complete schemas and descriptions, but significant naming and composition issues. Tool names violate verb_noun convention ('generate_and_write_files' combines two concerns). Descriptions are adequate (100-150 chars) but lack actionable context for LLM selection. Parameters have types and descriptions, but lack constraints (enums, ranges). Output schemas are undocumented. Error handling is minimal, no recovery guidance or categorization. Security concern: generate_and_write_files writes arbitrary files to disk with only path traversal checks, no permission gates or audit logging.
Check Cerebras API status and configuration.
Generate text/code using hosted LLM (Cerebras). Returns the generated text.
Generate code with hosted LLM and write files directly to disk. Returns only file metadata, not the code itself.
Tool name 'generate_and_write_files' violates single-responsibility principle. Combines text generation and file I/O into one tool. Should split into 'generate' (done) and 'write_files' (separate).
No output schema documentation. LLMs cannot predict return structure. 'generate' returns raw text (undocumented); 'generate_and_write_files' returns WriteResult object (structure visible in code but not in tool definition); 'check_status' return type unknown.
Missing parameter constraints. 'max_tokens' (integer) has no min/max bounds, LLM could pass 0 or 1000000. 'output_dir' (string) has no format validation beyond path traversal check. No enums where applicable.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 57 | 2026-07-28+ | v2 |
Destructive tool 'generate_and_write_files' lacks permission gates, dry-run support, and audit logging. Writes files to arbitrary directories with only path traversal validation. No confirmation step before execution. No audit trail of what was written.
Error handling is minimal. No recovery guidance. CallToolRequestSchema handler catches errors but returns raw error objects without categorization (retryable vs fatal) or actionable next steps for LLM.