tracing

Structured, contextual logging and distributed tracing framework for Rust. Instruments async code with spans (logical units of work) and events (log messages with metadata). Works with multiple subscribers/collectors — tracing-subscriber for local logging, opentelemetry-rust for distributed tracing. The standard observability approach for async Rust services (Axum, Tokio use it internally).

Evaluated Mar 07, 2026 (0d ago) v0.1.x
Homepage ↗ Repo ↗ Developer Tools tracing rust logging observability opentelemetry structured-logging spans async
⚙ Agent Friendliness
70
/ 100
Can an agent use this?
🔒 Security
96
/ 100
Is it safe for agents?
⚡ Reliability
92
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
90
Error Messages
88
Auth Simplicity
100
Rate Limits
100

🔒 Security

TLS Enforcement
100
Auth Strength
100
Scope Granularity
100
Dep. Hygiene
92
Secret Handling
88

MIT licensed. Avoid tracing sensitive data — span fields are visible in logs. Use skip() in #[instrument] for sensitive parameters.

⚡ Reliability

Uptime/SLA
100
Version Stability
90
Breaking Changes
88
Error Recovery
92
AF Security Reliability

Best When

You're building async Rust services (especially with Tokio/Axum) and need structured logging that preserves context through async .await boundaries.

Avoid When

Simple synchronous Rust programs — the log crate is simpler. Tracing's value compounds with async complexity.

Use Cases

  • Add structured logging to Rust agent services with span-based context propagation through async call chains
  • Instrument async Rust agent code where traditional logging loses context across .await points
  • Integrate with OpenTelemetry for distributed tracing across Rust agent microservices
  • Add #[tracing::instrument] to agent functions to automatically trace function entry, exit, and parameters
  • Correlate logs with request IDs across async Rust agent service handlers using span context

Not For

  • Simple synchronous Rust programs — standard log crate is simpler for non-async code
  • Non-Rust environments — use OpenTelemetry SDKs for other languages
  • Zero-dependency projects — tracing adds compile time with proc-macro dependencies

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

Local library — no authentication required. MIT licensed.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT licensed. Zero cost.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • tracing is the instrumentation API; tracing-subscriber is the output backend — must add both as dependencies; tracing alone produces no output without a subscriber
  • #[tracing::instrument] on async functions traces function entry/exit — use skip() for large/sensitive args: #[tracing::instrument(skip(password, db))]
  • Span context propagates through async code automatically — but NOT across thread boundaries via std::thread::spawn; use tokio::spawn which preserves span context
  • tracing::info_span!() creates a span but you must .enter() it or use span.in_scope(|| {}) — forgotten enter() means no span context
  • Log interop: tracing-log bridges the log crate to tracing — add tracing_log::LogTracer::init() to capture third-party library logs in tracing subscriber
  • OpenTelemetry integration: opentelemetry-otlp + tracing-opentelemetry — multiple crate versions must be compatible; pin exact versions in Cargo.lock

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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