traced-llm-proxy

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

With no annotations, the description carries full burden. It discloses key behaviors: proxying completions, adding OpenTelemetry tracing, and returning answer plus trace ID. However, it omits details like required authentication, side effects, or rate limits, leaving gaps.

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 a single, well-structured sentence that conveys the core functionality, return value, and a distinguishing feature (trace ID) without unnecessary words.

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?

For a tool with one parameter and no output schema, the description covers the tool's purpose and return value. However, it lacks details on the input format (A2A message body) and the exact structure of the output, which would be helpful for agent invocation.

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?

Schema description coverage is 100%, so baseline is 3. The description does not add extra meaning beyond the schema's 'JSON request for this capability (the same body you'd send as an A2A message).' It clarifies the tool's role but not the parameter's internal structure.

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 tool is a proxy for Gemini (Vertex AI) completions with tracing, specifying the verb 'Proxy' and the resource 'Gemini (Vertex AI) completions'. It also uniquely mentions returning the answer plus trace/span id, which distinguishes it from generic LLM tools.

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?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives like 'authenticated-llm-agent' or 'llm-observability-orchestration', nor does it mention prerequisites or exclusions.

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