get_age_population_ratio

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

No annotations exist, so the description carries the full burden of behavioral disclosure. It adds one useful trait beyond the schema: age bounds are inclusive. But it does not disclose what happens when age_from exceeds age_to, whether as_of:null means 'latest available data,' what data vintage is used, or the behavioral meaning of the defaults (70–79, implying the default demographic is older residents).

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?

A single front-loaded sentence with no filler; the verb, scope, and inclusivity qualifier are all up front. Every word earns its place. This is appropriately sized for a description, even if it is too brief to carry everything the tool needs.

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?

An output schema exists, so return values need not be described, but the input side is under-covered: 4 parameters with 0% schema descriptions, no annotations, and no mention of region semantics, as_of meaning, or the significant 70–79 default age range. An agent would likely have to guess at valid inputs.

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 0%, so the description must compensate, and it barely does. 'Inclusive age range' modestly clarifies that age_from/age_to endpoints both count, but there is zero guidance on how to identify a valid region or what as_of (YYYYMM) represents — two of the four parameters are effectively undocumented.

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?

States a specific verb ('Return') and a specific resource ('resident-population share for an inclusive age range'). The phrase is mostly clear, though the denominator of the 'share' (share of what?) is left to inference. It implicitly distinguishes itself from the sibling search/recommendation tools, but never names an alternative.

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?

No when-to-use, when-not-to-use, prerequisites, or alternative routing is provided. The only reason an agent would pick this over the siblings is the tool's name and the generic purpose statement; no explicit guidance reduces the risk of mis-selection.

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