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

With no annotations, the description carries the full disclosure burden. 'PRO.' hints at a subscriber/tiered capability and access_token implies auth, but the description never states whether the token is mandatory, what happens without it, what the response contains (address fields? elevation units/datum?), or any rate limits.

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?

Two short sentences with the core operation front-loaded and no filler. It is efficient, though the terseness contributes to the under-specification elsewhere.

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 3-parameter tool with no annotations and no output schema, the definition is too thin: it omits auth requirements, the shape/units of the elevation result, and the geocode output. An agent could invoke it but could not predict what it returns or how failures manifest.

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 only 33% — lat and lon have no documented format, coordinate system, or precision expectations, and the description adds nothing about them. Only access_token is described, and that comes from the schema, not the description.

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 names a specific compound operation (reverse geocode + elevation lookup) and scopes it with 'for one point,' which implicitly separates it from the batch sibling. It stops short of naming reverse_geocode or batch_reverse, so the differentiation is inferential rather than explicit.

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?

There is no explicit when-to-use or when-not-to-use guidance. An agent must infer from 'one point' that batch_reverse handles multiple points and that plain reverse_geocode lacks elevation, but neither alternative is named or conditioned.

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