compare_outputs

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does state that comparison is 'deterministically,' which is a meaningful behavioral trait, but it does not disclose side effects, mutation, authorization requirements, error behavior, or what happens when inputs are incomplete or mismatched.

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

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

The description is a single focused sentence with no filler. It front-loads the action and includes the key behavioral qualifier without wasting words.

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

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

An output schema exists, so return-value details are covered, but the description still lacks essential context about what constitutes a valid 'evaluation result,' what fields are expected inside the arbitrary nested objects, and how the deterministic comparison is performed. For a tool with two freeform object parameters and no annotations, this is a minimal definition with notable gaps.

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

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 for undocumented parameters. It labels source_result and target_result as 'paired source/target evaluation result,' providing some context, but it does not explain the expected structure, required nested fields, or how the pairing is defined. Given both parameters are free-form objects, this is insufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: 'compare one paired source/target evaluation result deterministically.' It clearly indicates what the tool does and adds a useful qualifier ('deterministically') that distinguishes the behavior. It doesn't explicitly name sibling tools, but the focus on source/target evaluation results is enough to distinguish it from compare_models.

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

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

No explicit when-to-use or alternative tool guidance is provided. The description only implies its use for paired source/target evaluation results, with no mention of when it should not be used or which siblings like validate_research_result or compare_models might be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.