umbrella_domain_volume

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It states that the tool gets query volume over time, but it does not disclose time range behavior, aggregation granularity, pagination, rate limits, or whether any implicit default time window applies. For a data-query tool, these are material gaps.

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 one short, front-loaded sentence with no filler. It states the action and object immediately. It is concise rather than under-specified to the point of being a pure label, though it could still carry more useful detail without becoming bloated.

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-style tool, the description is minimally viable: it names the input and the kind of output. However, with no annotations and no output schema, it omits details like what time range is covered, what units or series format are returned, and whether the domain must be an exact FQDN. These gaps prevent it from being fully complete.

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, but it only repeats the concept of 'domain' without adding format guidance, examples, or constraints. It does clarify that the domain is the object whose volume is queried, but it adds little beyond what the input schema already shows.

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 uses a specific verb-resource pairing: 'Get DNS query volume over time for a domain.' This clearly conveys what the tool does and distinguishes it from siblings like umbrella_total_requests (which suggests aggregate counts) and umbrella_domain_categorization (which is metadata classification).

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 no guidance on when to use this tool instead of the many related sibling tools. There are no stated alternatives, exclusions, or context cues such as 'use this for per-domain trends' versus 'use umbrella_total_requests for overall counts.' The agent must infer usage entirely from the name.

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