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record_decision

Record decision traces to log agent proposals and human responses, enabling tracking of corrections, approvals, or rejections.

Instructions

Record a decision trace: what the agent proposed and how the human responded

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
tool_nameNo
agent_proposalNo
human_correctionNo
file_pathNo
reasoningNo
decision_typeYes
Behavior2/5

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

No annotations are provided, so the description must carry full burden. It mentions recording a decision trace but does not disclose side effects (e.g., persistence, idempotency, session requirements) or any behavioral constraints.

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

Conciseness4/5

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

The description is a single clear sentence, which is concise. However, it could be slightly improved by front-loading key behavioral constraints or noting required fields beyond decision_type.

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 7 parameters with no schema descriptions, no output schema, and nested objects, the description is insufficient. It lacks context on session relationships, required parameters, and interpretation of fields.

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

Parameters2/5

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

With 0% schema description coverage, the description should explain all parameters. It only covers agent_proposal and human_correction implicitly, leaving session_id, tool_name, file_path, reasoning, and decision_type unexplained.

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 verb 'record' and the resource 'decision trace' with specific content ('what the agent proposed and how the human responded'). This distinguishes it from sibling tools like record_event or record_correction.

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 given on when to use this tool versus alternatives. It does not mention prerequisites, contexts, or when not to use it.

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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