traced-llm-proxy
Server Details
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.5/5 across 1 of 1 tools scored.
Only one tool exists, so there is no risk of confusion or overlapping purposes.
With a single tool, naming consistency is not applicable; the tool name 'invoke' is clear and appropriate.
One tool for a focused proxy task is reasonable, though a few more (e.g., streaming, model selection) could enhance utility.
The tool covers the core functionality of proxying completions with tracing, but lacks common options like model selection or streaming.
Available Tools
1 toolinvokeAInspect
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus the trace/span id.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | JSON request for this capability (the same body you'd send as an A2A message). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the core behavior (proxy, tracing, output) but does not cover potential side effects, authorization requirements, or error handling. Since no annotations are provided, the description carries the full burden for transparency, and it falls short by not addressing these aspects.
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 sentence that efficiently conveys the tool's purpose, though it could be slightly more streamlined. It is well-structured and front-loaded with the primary action.
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 is mostly complete, covering the action, input hint, and output components. However, it could be more precise about the structure of the returned answer.
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 input schema already fully describes the parameter with a clear description. The tool description does not add any additional meaning or constraints beyond what the schema provides, so baseline score of 3 is appropriate.
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 acts as a proxy for Gemini completions via Vertex AI, adding OpenTelemetry tracing, and returns both the answer and trace/span ID. This is a specific verb and resource, and since there are no sibling tools, no differentiation needed.
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 provides no usage guidelines, such as when to use this tool or when to avoid it. It only states its function, leaving the agent to infer appropriate contexts. No alternative tools are mentioned (though there are no siblings, still no guidance).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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{
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