argus_compare

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

No annotations provided, so the description carries full responsibility. It details the steps (navigate URLs, capture screenshots, run analyzer, diff findings) and mentions environment variable configuration. It does not explicitly state read-only nature or side effects, but overall the behavior is well outlined.

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 concise, front-loaded with the main purpose, and each sentence adds value. It avoids fluff while covering essential details.

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?

The tool has no parameters and no output schema. The description covers what it does and configuration needs, but it does not explicitly describe the format of the diff output. Still, it provides enough context for an agent to understand the purpose and usage.

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?

There are no parameters, so schema coverage is 100% trivially. The description does not need to add parameter info; it appropriately focuses on the tool's functionality and configuration requirements.

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 clearly states the tool's function: snapshot and diff two environments side-by-side, capturing screenshots and running analyzer to surface regressions. It distinguishes itself from siblings by focusing on comparison rather than single-environment audit.

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?

The description implies the tool is for comparing environments but lacks explicit guidance on when to use this versus sibling tools like argus_audit. It does not mention prerequisites or scenarios where this tool is preferred.

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