The server has 4 tools with complete input schemas and clear descriptions. However, descriptions lack depth on recovery paths and use cases. Output schemas are completely undocumented, the LLM has no visibility into what these tools return. Parameter descriptions are adequate but sparse (average ~30 chars vs baseline 72 chars). The server lacks error handling guidance, has no tool annotations (readOnlyHint), and provides minimal context on when/why to use each tool vs alternatives. This places it in fair-to-good territory, definitions are present and structured, but lack the production-grade optimization needed for A-grade scoring.

• Document the output schema for each tool. Add a structured response definition (e.g., 'Returns: {issues: [{severity, category, line, description, suggestion}], summary: string, score: number}'). Without this, LLMs cannot extract and act on findings.
• Expand analyze_diff description from 22 chars to 100-150 chars. Explain: What statistics are provided? How does it differ from review_code on a diff? When should an agent call this instead of passing the diff to review_code?
• Add readOnlyHint: true to all 4 tool definitions in the JSON Schema. Mark tools with tool annotations to signal to agents they are safe to retry.
• Enhance parameter descriptions, especially 'focus' array. For each focus area, add 1-2 sentences: 'compilation: Check for syntax errors, import issues, and type mismatches. security: Scan for SQL injection, XSS, hardcoded secrets, and authentication bypasses.' This prevents agents from guessing what each area covers.
• Add recovery hints to tool descriptions. E.g., 'If the language is not auto-detected, pass an explicit language parameter (csharp, python, typescript, etc.). If the AI provider times out, the tool will retry once; if it fails again, try a different provider override.'
• Consolidate review_code and review_file into a single 'review_code' tool. Add an optional 'is_full_file' boolean or 'scope' enum (snippet|file|diff). Reduce cognitive load on the LLM when choosing between similar tools.
• Remove or gate 'provider' and 'model' override parameters server-side via configuration, not client-facing tool parameters. If overrides are necessary, use a secure secrets vault instead of raw parameter passing.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry