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compare_run

Run parallel code reviews across multiple AI providers to compare their feedback on a code snippet and issue description.

Instructions

Fan out a code review to all enabled providers (or a subset) in parallel.

Args: code: The source code to review. issue: Description of the bug or task. providers: Optional list of provider names to query. Defaults to all enabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
issueYes
providersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It discloses parallel execution and provider targeting, but does not mention side effects, safety, or return format. Adequate but not comprehensive.

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?

Description is concise with a clear action statement and structured Args list. No unnecessary words, front-loaded with purpose.

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

Completeness3/5

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

Output schema exists but description does not mention what the tool returns. Given low complexity and sibling tools that likely compare outputs, this is a minor gap but acceptable.

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

Parameters4/5

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

With 0% schema coverage, the description clearly explains each parameter: code is source code, issue is bug description, providers is optional list defaulting to all. Adds meaningful context beyond parameter names.

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 fans out a code review to providers in parallel, using specific verbs and resource. It distinguishes from sibling tools like compare_debate or compare_models by focusing on sending code for review.

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 alternatives like compare_diff or compare_status. The description implies it is for code review, but lacks when-to-use or when-not-to-use context.

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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