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

The description discloses queued/asynchronous behavior, batch ID for tracking, and the necessity for a follow-up result call. It also mentions optional scheduling and webhook completion, going beyond the annotations and telling the agent what to expect after invocation.

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 primary sentence front-loads the tool's purpose. Every following sentence adds a distinct workflow fact: batch ID, scheduling, result retrieval, and webhook notification. There is no redundant or padding content.

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?

Given the tool has no output schema, the description appropriately explains the key return value and follow-up process. It covers URL limits, optional scheduling, and the completion webhook. It could describe more about failure behavior or response shape, but the essential context is present.

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 100%, so the description doesn't need to add much. It restates max URL count, frequency options, and webhook capability already in the schema. The return of a batch ID is helpful but not a parameter semantic.

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 states a specific action: queue up to 500 URLs for batch GEO visibility testing. It also explains the output as a batch ID and distinguishes itself from singular testing and scheduling siblings through the batch scope.

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 gives a clear usage flow: queue URLs, optionally schedule recurring runs, retrieve results later, and optionally use a webhook for completion. It does not explicitly contrast with gvt_run_visibility_test or gvt_schedule_test, but the batch and multiple-URL context implies when this tool is appropriate.

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