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confirm_fix

Approve, reject, or modify proposed fixes before they are applied. Provide a reason or updated code to direct test automation repairs and maintain control over the fix process.

Instructions

[mode: real] Confirm / reject / modify a proposed fix prior to apply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fixIdYes
actionYes
reasonNo
modifiedCodeNo
Behavior2/5

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

With no annotations, the description carries the full burden. It mentions 'mode: real' and 'prior to apply' but does not disclose side effects, required permissions, or the state changes for each action (approve/reject/modify). This is insufficient for a mutation tool.

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 concise sentence that is easy to parse, but over-conciseness sacrifices necessary detail. It earns a 4 for efficiency, though it could be restructured to include more guidance without bloating.

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 4 parameters, no annotations, and no output schema, the description is severely under-specified. It offers only a high-level purpose and does not cover per-action requirements, side effects, or return values, making it inadequate for reliable tool invocation.

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 description coverage is 0%, so the description must compensate. It only maps 'confirm/reject/modify' to the action enum but does not explain fixId, reason, or modifiedCode, nor when they are required (e.g., modifiedCode for 'modify'). This leaves agents to guess parameter behavior.

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 tool's function with specific verbs: confirm, reject, or modify a proposed fix. It distinguishes from siblings like 'apply_fix' by explicitly noting 'prior to apply'.

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

Usage Guidelines4/5

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

The phrase 'prior to apply' implies the tool's position in the workflow, but it does not explicitly name alternatives or say when not to use it. The context is clear enough for an agent to infer the pre-apply usage.

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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