enrich_businesses_workforce_trends

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

With no annotations, the description carries full burden for behavioral disclosure. It lists return fields but does not mention data freshness, limitations, required privileges, or any side effects. The behavior is mostly opaque.

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 reasonably concise with a clear opening sentence followed by a bulleted list of returns. The list could be trimmed, but it remains readable and front-loaded.

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 tool with one parameter and no output schema, the description adequately explains what it returns. However, it lacks any usage context or behavioral notes that would help an agent decide when to invoke it.

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 single parameter 'business_ids' is well-documented in the schema with a description. The tool description does not add further semantic meaning beyond what the schema provides, so it scores a baseline 3.

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 'Get workforce trends and department composition for companies', which specifies the verb and resource. It distinguishes from sibling tools like enrich_businesses_financial_metrics by focusing on workforce data. However, the list of returns is somewhat verbose without adding core distinctiveness.

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 provides no guidance on when to use this tool versus other enrich tools, nor does it mention any prerequisites or context. It simply describes what it does, leaving the agent to infer usage.

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