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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior. The description adds valuable context beyond those: the tool is paid, returns timestamped hashed evidence, and resolves current public DNS A-record data. No contradiction with annotations.

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?

Two tight sentences front-load the core identity ('Paid read-only domain intelligence'), then explain behavior, output, and the intended use case. Every sentence earns its place with no redundancy.

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?

For a single-parameter, read-only tool with rich annotations and no output schema, the description is complete: it covers what it does, the nature of the output, the paid aspect, and when to use it. Nothing essential is missing for an agent to decide on and invoke the call.

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 coverage is 100%, and the schema already documents the single 'url' parameter as a public http/https URL whose hostname is inspected. The description does not add additional parameter-level meaning beyond what the schema provides, so a baseline 3 is appropriate.

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?

States a specific verb-resource pairing ('resolves current public DNS A-record data') and names the output ('timestamped hashed evidence'). The 'Paid read-only domain intelligence' framing clearly distinguishes it from sibling tools like gridextract_markdown, gridverify_evidence, and gridwatch_preflight.

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?

Explicitly says when to use the tool: 'when an agent needs current domain/DNS evidence without maintaining its own resolver.' It gives clear context but does not explicitly name alternatives or exclusion conditions, so it stops short of the full 5.

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