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

With no annotations, the description carries the full burden, and it does disclose one genuinely important trait: only aggregate, non-personal data is exposed and 'no personal data is ever shared,' which is real behavioral context beyond the empty schema. However, it says nothing about return format, freshness, or access requirements, leaving major gaps for a data-fetching tool.

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 short sentences, front-loaded with the data scope and privacy guarantee, and the parenthetical example earns its place by concretizing 'demand signals'. No padding.

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 zero-param tool with no output schema and no annotations, the description should still convey what comes back and when it is useful. It conveys the data's nature and privacy posture but leaves return shape and usage triggers unspecified.

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 takes zero parameters, so there is nothing for the description to clarify; baseline is 4. The description correctly implies no filtering inputs are required or accepted.

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 the resource (aggregate, non-personal data / live demand signals) but never supplies a verb — it is unclear whether the tool retrieves, streams, or lists this data. The opaque name 'data_ocklu' gives the agent nothing, so the description must carry the whole burden and only partially does. The content still hints at what the tool surfaces, distinguishing it loosely from the e-commerce siblings.

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 statement of when to call this tool, when not to, or which sibling it replaces. 'Can share with partner agents' implies a caller context but prescribes no trigger condition. An agent must guess from the data description alone.

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