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

With no annotations provided, the description carries the full burden. It discloses important behavioral traits such as the paid nature ('$0.01/req or pass') and the limit parameter's max datapoints range (1-50). However, it does not describe the response format, any authentication requirements, or potential errors, leaving gaps in transparency.

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 extremely concise, with a front-loaded purpose statement and a clearly formatted arguments section. Every sentence earns its place, providing necessary context without any fluff.

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 simple one-parameter tool with no output schema, the description covers the essential purpose, examples, cost, and limit semantics. However, it lacks an explicit statement of the return format and fails to differentiate from 'verticals_latest', which is a notable omission for a tool in a crowded sibling set.

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 description fully explains the only parameter 'limit' by specifying it as the max datapoints and providing the allowed range (1-50). This adds significant meaning beyond the bare schema, which only lists type and default. Given 0% schema coverage, this is a strong compensatory explanation.

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 indicates the tool provides vertical intel for agent-commerce and messy-middle segments, with specific examples (Shopify GMV, Ambrook, super.com). It is not a tautology and gives a clear sense of the resource. However, it does not explicitly distinguish itself from the sibling tool 'verticals_latest', which may cause confusion.

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 guidance on when to use this tool versus alternatives like verticals_latest or other vertical-related tools. The only hint is the paid nature ('$0.01/req or pass'), which implies cost-conscious usage, but no explicit when-to-use or when-not-to-use context is provided.

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