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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context: it returns structured facts rather than a rendered page, unextracted facts are null rather than errors, and the tool is free. This goes beyond the annotations meaningfully.

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 a single dense sentence that front-loads the core purpose and then enumerates the returned facts. It is slightly long but every phrase earns its place, and the colon-structured list is easy to scan.

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?

With no output schema, the description carries the burden of explaining what the tool returns, and it does so by listing the fact categories and clarifying null behavior. It is adequately complete for invoking and interpreting the tool, though it does not provide exact property names or a sample response.

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?

The tool has zero parameters, so there is no input schema ambiguity. The baseline for zero-parameter tools is 4, and the description appropriately focuses on output semantics instead of parameters.

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 the tool returns structured business context facts: what the product is, who it is for, competition, pricing, features, and positioning. It is specific about the resource, but it does not explicitly distinguish itself from the sibling get_competitors, which may overlap on competitor information.

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 explicitly says to read this before writing about the business, which gives a clear trigger condition. It does not mention when not to use it or point to alternatives like get_competitors, so it stops short of full exclusion guidance.

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