Server has 4 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool names lack clear action verbs (compare, ask, filters, health are weak). Descriptions are present but generic (10-50 chars for most). Input schemas exist but lack parameter descriptions, critical for LLM reasoning. No output schemas documented. Error handling absent. Parameters like 'detail_level' and 'field' lack context on valid values beyond enums. The 'ask' tool re-runs comparison before answering, which is inefficient and not documented as a side effect.

• Rename tools to verb_noun pattern: 'compare' → 'run_comparison', 'ask' → 'ask_followup_question', 'filters' → 'get_filter_values', 'health' → 'check_health'.
• Add descriptions to every parameter in schemas. Example: 'run1' → 'First benchmark run configuration (cloud, os_vendor, os_version, instance, benchmark). All fields required.'
• Document output schemas for each tool. Example for 'compare': returns {regression_detected: bool, metrics: {metric_name: {baseline: number, current: number, change_percent: number}}, analysis: string}.
• Add error handling to descriptions. Example: 'Returns 404 if benchmark data not found for the specified parameters. Try get_filter_values(field="benchmark") to see available benchmarks.'
• Split 'ask' into two tools: 'run_comparison' (idempotent, returns comparison results) and 'ask_followup' (takes comparison results + question, returns analysis). Allows agent to reuse comparison across multiple questions.