get_demographics_trend

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is known. The description adds that the tool returns historical multi-year data for a single geographic area, which is useful context. But it does not disclose output format, pagination, or data availability details beyond that.

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, front-loaded sentence that immediately states the action and resource. Every word contributes to understanding the tool's purpose, with no filler or redundancy.

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?

There is no output schema, so the description must compensate for return-value expectations. It gives examples (population growth, income changes, housing trends) but does not enumerate the actual demographic variables returned or the response shape. This is a clear gap for a trend tool, though the invocation details are well covered by schema and annotations.

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 coverage is 100%, and each parameter already has a clear description, including the area_type enum. The description only generically references multi-year ranges and does not add extra parameter-specific meaning, so it does not exceed the baseline set by the 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 uses a specific verb ('Retrieve'), resource ('historical demographic data'), and scope ('across multiple years for a single geographic area'). This clearly distinguishes it from sibling tools like get_demographics (likely current snapshot) and compare_demographics (comparison across areas).

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 states it is useful for analysing population growth, income changes, or housing trends over time, giving clear context for when the tool is appropriate. However, it does not explicitly name alternative tools or state when not to use this tool, so it stops short of full exclusion guidance.

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