Observed Signal · Aug 7, 2026 · Technical Benchmark · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Series Output Beats Summary for MCP Troubleshooting
The author benchmarked MCP tool output shapes by running 72 randomized trials (six tasks, two LLM agent families, three repeats) against a Jaeger v2 observability fixture to compare compact summary rows versus per-bucket time series output. Agents used were Claude Sonnet (via Claude Code CLI) and Gemini 2.5 Pro (via gemini CLI). Results showed near-identical correctness between formats but a much higher decline rate for summary output on temporal/causal tasks: agents declined to answer far more often when aggregation removed the time axis needed to localize spikes. The experiment concludes that output format should match question class, decline rates should be monitored as a failure mode, and lightweight benchmarking can settle format debates quickly. All bench code and artifacts are public in the referenced repository.
Provides empirical guidance for MCP/observability tool output design and LLM-agent integrations; impacts troubleshooting effectiveness but is a niche technical benchmark rather than industry-shifting news.
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Key Takeaways & Evidence Grounding
- Author executed 72 randomized trials (6 tasks × 2 agent families × 2 formats × 3 repeats) against a fixed Jaeger v2 + spanmetrics + Prometheus fixture.
- Bench server supported two output shapes via --format=summary|series (summary rows vs per-bucket time series).
- Agents tested: Claude Sonnet (via Claude Code CLI) and Gemini 2.5 Pro (via gemini CLI).
- Results table: claude/series 18 correct, 0 wrong, 0 declined; gemini/series 17 correct, 0 wrong, 1 declined; claude/summary 10 correct, 1 wrong, 7 declined; gemini/summary 11 correct, 0 wrong, 7 declined.
- Finding: summary output produced a substantially higher decline rate on temporal questions because aggregation removed the time axis; correctness rates were similar between formats.
Connected Companies & Entities
3 Entities mapped“Two agents, and not stripped-down tool loops: Claude Sonnet through the Claude Code CLI and Gemini 2.5 Pro through the gemini CLI, real syst...”
“Two agents, and not stripped-down tool loops: Claude Sonnet through the Claude Code CLI and Gemini 2.5 Pro through the gemini CLI, real syst...”
“Everything below is public in jaeger-mcp-bench, including the harness, the tasks, the scorer, and a research log of everything that went wro...”
Ontology Mapping & Concepts
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