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record_correction

Record user corrections to AI outputs as high-priority learning signals to improve future responses.

Instructions

Record a user correction to Claude's output (high-priority learning signal)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
claude_actionYesWhat Claude did (tool, file, content)
user_correctionYesHow the user corrected it
reasoningNoInferred reason for the correction
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only implies a write operation but fails to mention side effects, permissions, validation, or return behavior (no output schema).

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?

A single sentence that efficiently conveys the core purpose. No unnecessary words.

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 has 4 parameters, nested objects, no output schema, and no annotations, the description is too brief. It lacks guidance on formatting nested fields, valid session_id, or expected return values.

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?

Schema coverage is 75%, but the description adds no additional meaning beyond the schema. It doesn't clarify how to structure the nested objects (claude_action, user_correction) or what the reasoning field should contain.

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 'user correction to Claude's output', and adds the purpose 'high-priority learning signal'. It distinguishes this tool from siblings like record_decision or record_event by specifying corrections.

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 vs alternatives like record_decision or record_event. The description mentions 'high-priority' but doesn't exclude other scenarios or state prerequisites.

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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