verify_signer_offline

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

Describes execution context (runs signer_code in current page context), comparison logic (pass_rate, first_divergence), and iterative workflow. With no annotations, this is good transparency; could mention if it modifies browser state but likely doesn't.

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?

Well-structured with numbered workflow and argument list. Not overly verbose, but a couple of sentences could be merged. Efficient overall.

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?

Covers all necessary aspects for an offline verification tool: workflow, parameter expectations, return values (total_samples, passed, etc.). No output schema, but return dict explained. Complete for the tool's purpose.

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 has 0% description coverage, but the description fully explains each parameter: signer_code (JS function), samples (list with id, input, expected), compare_params (optional list of keys). Adds structure and examples beyond the bare schema.

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 it 'offline verify a signing function against user-provided samples.' The verb 'verify' and resource 'signing function' are specific, and the offline context distinguishes it from real-time debugging tools like hook_function or intercept_request among siblings.

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?

Provides a typical workflow (capture requests, extract samples, write code, call this tool, iterate) which implies when to use it. Missing explicit when-not-to-use or alternatives, but the workflow gives strong contextual guidance.

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