langfuse_trace

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must convey behavioral traits. It adds information about required scope and governance (Arbiter policy, ProofLink receipt), which is helpful. However, it does not disclose other important traits like idempotency, error behavior, rate limits, or side effects beyond creation. The added context is useful but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at two sentences (~30 words). It front-loads the core purpose and includes essential prerequisites and governance context without any filler or redundancy. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and no output schema, the description does not explain return values or common usage patterns. It is adequate for a straightforward logging tool but lacks contextual details that could help an agent handle edge cases or understand the response format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% coverage for parameter descriptions, so the baseline is 3. The tool description mentions 'input, output, model, metadata' but does not add any additional meaning, formatting, or usage hints beyond what the schema already provides. No extra value is added.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and the resource 'Langfuse trace', with the specific purpose 'to log an LLM interaction (input, output, model, metadata)'. This distinguishes it from its only sibling, 'langfuse_health', which is a health check tool, leaving no ambiguity about its function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions the required permission scope ('integrations:observe:write'), which is a usage prerequisite, but does not explicitly state when to use this tool versus alternatives, nor does it provide guidance on when not to use it. While the purpose is clear, the lack of explicit usage scenarios or exclusions limits the score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.