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

With no annotations, the description carries the full burden of behavioral disclosure. It adds a key financial detail (paid, $0.002/req) and hints at a 'pass' behavior when no data is available, which goes beyond the schema. However, it omits other important aspects like read-only status, response format, or error conditions, leaving significant 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 a single sentence with no filler or redundant information. It packs a surprising amount of detail (latest datapoint, paid cost, pass behavior) into a very compact format, demonstrating excellent conciseness.

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?

Despite the tool's simplicity, the description is incompletely contextual. It does not define what 'vertical-intel' means, describe the expected return value, or explain the 'pass' condition. Since there is no output schema and no annotations, the description leaves the agent with substantial ambiguity about how to interpret the tool's output.

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 the schema is inherently complete. According to the calibration baseline for 0 parameters, a score of 4 is appropriate; the description does not need to compensate for missing parameter documentation.

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 identifies the resource as a 'vertical-intel datapoint' and specifies it as the single most recent one, which clearly implies a retrieval operation. However, it lacks an explicit verb like 'gets' or 'retrieves' and does not directly contrast with sibling tools such as 'verticals'.

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. The description mentions pricing and a 'pass' condition but provides no context about typical use cases, prerequisites, or why a user might choose this over 'verticals' or other sibling tools.

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