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record_tuning_session_step

Record a candidate run comparison with baseline, including feedback tags and acceptance status, during interactive tuning.

Instructions

Record one candidate comparison inside an interactive tuning session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
baseline_run_idYes
candidate_run_idYes
feedback_tagsNo
acceptedNo
reviewer_notesNo
quality_profileNobalanced

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description fails to disclose behavioral traits such as side effects, mutability, or dependencies. It only states the action without any context on consequences or state changes.

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

Conciseness3/5

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

The description is extremely concise, but it sacrifices valuable information. It could be slightly expanded to include parameter context or usage tips without becoming verbose.

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

Completeness2/5

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

Given the tool's complexity (7 parameters, 3 required) and lack of parameter documentation, the description is incomplete. Although an output schema exists, the description does not help the agent understand when and how to invoke the tool correctly.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no explanation for the 7 parameters. The agent must infer meaning from parameter names alone, which is insufficient for correct usage.

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

Purpose4/5

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

The description clearly states the verb 'record' and resource 'candidate comparison' within a specific context 'inside an interactive tuning session', which distinguishes it from sibling tools like 'record_tuning_decision' or 'record_preview_feedback'. However, it does not explicitly differentiate from similar recording tools.

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 guidance is provided on when to use this tool versus alternatives, or when not to use it. The description implies existence of an interactive tuning session but does not explain prerequisites or required prior actions.

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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