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

Annotations already establish read-only, non-destructive, closed-world behavior. The description adds meaningful provenance guarantees ('quoted or read from live data, never generated'), source URLs, and a null-answer signal when the site does not cover a topic. No auth or rate-limit details are provided, but that is beyond what the annotations require.

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 sentences, front-loaded with the core definition and then a scope enumeration. The second sentence is long but every listed topic earns its place by clarifying coverage boundaries; there is no filler.

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 QA tool, the description covers scope, provenance, source URLs, and the null-result behavior. With annotations conveying safety and no output schema needed, this is largely complete, though routing against siblings remains unaddressed.

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%: the single 'question' parameter is fully documented in the schema, including an example and length constraints. The description only adds 'plain words,' which is a marginal nuance over the schema baseline.

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 names a specific verb ('answered'), the resource ('question... from theprofound.agency'), and enumerates covered topics like prices, fees, refund terms, and definitions. It stops short of distinguishing this tool from siblings such as can_i_advertise, which appears to cover one of the listed topics (whether a category can advertise on a channel).

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The topic list provides clear implied context for what questions it answers, but an agent must infer that specialized siblings may take precedence for their niches.

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