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Retrieve the full trace of an LLM call: prompts, tool calls, response, token usage, cost, and latency using the action ID.

Instructions

Retrieve the full captured trace for a single LLM call. Returns the prompt, system prompt, tool calls, model response, token usage, cost, and latency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
action_idYesThe action ID from the x-agentledger-action-id response header.
Behavior3/5

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

Without annotations, the description carries full burden. It discloses the return contents but omits any side effects, permissions, or limitations (e.g., how to obtain the action_id).

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

Conciseness5/5

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

Two concise sentences with no wasted words. The first states the core purpose, the second lists returned fields.

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

Completeness4/5

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

Given the tool has one parameter and no output schema, the description gives a good overview of return contents. However, it lacks detailed structure or format of the returned data.

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

Parameters3/5

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 additional meaning beyond the schema's description of action_id.

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

Purpose5/5

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

The description clearly states the action ('Retrieve the full captured trace for a single LLM call') and lists the returned fields, distinguishing it from siblings that list sessions, search, or list runs.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus siblings. While the sibling names suggest different purposes, the description does not provide conditions or alternatives.

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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