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All ideas/observability/A SaaS observability platform that securely emits detailed classification metadata for tools and agents, enabling advanced dashboards without risk of sensitive data leaks.
GitHubB2BDevToolsobservability

A SaaS observability platform that securely emits detailed classification metadata for tools and agents, enabling advanced dashboards without risk of sensitive data leaks.

Scouted 6 hours ago

7.0/ 10
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Score breakdown

Urgency8.0
Market size7.0
Feasibility8.0
Competition5.0
The pain

Useful classification metadata cannot be obtained in telemetry without exposing sensitive data.

Who'd pay

Development and operations teams using telemetry to monitor tools and agents in secure environments.

Signal that triggered it

"Today these fields are only emitted in the `tool_result` OTel event when I set `OTEL_LOG_TOOL_DETAILS=1`. But that same flag also exports `tool_input` and `tool_parameters.full_command` (full Bash command string) to the OTel backend and those routinely carry sensitive data"

Original post

[FEATURE] `tool_result` OTel event: emit classification metadata (`mcp_server_name`, `mcp_tool_name`, `skill_name`, `subagent_type`) unconditionally

Published: 6 hours ago

When running Claude Code with OTel enabled for observability, the user wants to classify tool calls in the telemetry backend by MCP server name, MCP tool name, skill name, and sub-agent type to build dashboards for per-server latency, per-skill usage frequency, and per-sub-agent duration. Currently, these fields are only emitted in the `tool_result` OTel event when the `OTEL_LOG_TOOL_DETAILS=1` flag is set, but that flag also exports sensitive data like full Bash commands, API keys, and credentials, forcing a choice between no classification metadata or full payload leaks. The proposed solution is to emit these classification fields unconditionally, without exposing sensitive data, improving observability without compromising security.

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