find_new_operators

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

Beyond the readOnlyHint annotation, the description explains that this is an 'observation signal, NOT confirmed market entry' and warns that 'sparse sampling can surface a long-present seller the first time we see them', which adds crucial behavioral context.

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 two sentences plus a usage note, front-loaded with the core concept and differentiation, with no wasted words.

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?

While the description excels at explaining the tool's purpose and usage, it does not address the 18 parameters or output format. Given the complexity (many parameters, no output schema), the description could be more complete for an AI agent to use effectively.

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?

Schema description coverage is only 28% (5 of 18 parameters have descriptions), and the tool description itself provides no additional parameter explanations. Many parameters remain undocumented, leaving the agent with insufficient semantic understanding to set them correctly.

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 uses specific verb+resource ('Find operators we FIRST OBSERVED selling recently') and clearly distinguishes from the sibling tool top_expanding_operators by stating it's for newly-observed sellers, not existing operators adding brands.

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?

Explicitly provides example queries ('new sellers this month', 'who just started selling', 'newly seen operators') and explains the key difference from top_expanding_operators, giving clear guidance on when to use this tool.

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