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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not explicitly say the tool is read-only, does not describe the response shape, and does not mention ordering, grouping, or format. The phrase 'Allowed values' weakly implies a lookup operation, but this is minimal and leaves important behavioral aspects undisclosed.

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 sentence with no filler. It front-loads the essential content and every word contributes meaning. For a simple lookup tool, this is appropriately concise.

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's low complexity (zero parameters, no output schema), the description communicates the key information an agent needs: the tool provides allowed values for specific dimensions. It could be more explicit about return format, but this is a minor gap for a static enum-like lookup.

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 parameter semantics are trivially satisfied by the empty schema. The description adds useful context by naming the taxonomy categories, but no parameter-level information is needed.

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 identifies the resource as a taxonomy and enumerates exactly what it covers: personas, industries (sectors), audiences, and regions. Although it lacks an explicit verb like 'returns' or 'gets,' the noun phrase 'Allowed values for' strongly implies retrieval and distinguishes the tool from the sibling search/credits/icp tools.

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 implies the tool's purpose: fetch allowed values for the listed categories. It does not explicitly state when to use it or mention alternatives, but for a zero-parameter lookup of static taxonomy data, this implied usage is reasonably clear and unlikely to be confused with siblings.

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