get_population

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

With no annotations provided, the description carries full burden but only minimally describes behavior. It states what data is returned but doesn't cover error handling, rate limits, authentication needs, or whether this is a read-only operation (though 'Get' implies read). More behavioral context would be helpful for a tool with no annotation coverage.

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 perfectly structured with a clear purpose statement followed by organized Args and Returns sections. Every sentence earns its place, providing essential information without redundancy. The formatting with clear section headers enhances readability.

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?

Given the tool has an output schema (so return values don't need description) and the description covers parameter semantics well, this is reasonably complete. The main gap is lack of behavioral context that would be important for a tool with zero annotation coverage, but the core functionality is well-described.

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?

With 0% schema description coverage, the description compensates well by explaining both parameters: 'state' as 'Two-letter state code or state FIPS code' and 'county' as 'Optional county name or FIPS code'. It clarifies format examples and optionality, adding significant value beyond the bare schema.

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 the tool's purpose with specific verb ('Get') and resource ('population data for a US state or county'), distinguishing it from siblings like 'get_demographics' or 'query_census' by specifying geographic scope and data source (American Community Survey).

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 implies usage context by specifying 'US state or county' and 'American Community Survey', but provides no explicit guidance on when to use this tool versus alternatives like 'get_demographics' or 'query_census'. It doesn't mention prerequisites or exclusions.

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