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evaluate_batch

Evaluate multiple code files in a single call to get per-file verdicts with scores and findings, plus aggregate statistics.

Instructions

Evaluate multiple code files in a single call. Returns per-file verdicts with scores and findings, plus aggregate statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesYesArray of files to evaluate
configNoOptional inline configuration (same format as .judgesrc)
Behavior2/5

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

No annotations are provided, so the description must disclose all behavioral traits. It only mentions return structure (per-file verdicts, aggregate statistics) but omits whether the operation is destructive, required authentication, error handling, performance implications of batching, or limits on input size.

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?

Two sentences, front-loaded with purpose and output summary. No redundant or extraneous information. Every word adds value.

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 lack of output schema and moderate complexity (nested objects, optional config), the description should explain more: behavior when config is omitted, error handling, maximum batch size, and how config overrides affect verdicts. The description is too brief for a batch tool.

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

Parameters3/5

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

Schema coverage is 100% and all parameters are described in the schema. The description adds no additional meaning beyond what the schema provides. With high coverage, baseline 3 is appropriate.

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 uses a specific verb ('Evaluate') and resource ('multiple code files'), clearly distinguishing it from siblings that evaluate single files or diffs. It states exactly what the tool does and what it returns.

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

Usage Guidelines3/5

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

The description implies use for multiple files but provides no guidance on when not to use it or how it differs from alternatives like evaluate_code, evaluate_file, or evaluate_diff. No explicit when-to-use or alternative recommendations.

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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