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

Annotations already declare readOnly, idempotent and non-destructive behavior, so the safety profile is covered. The description's added value is limited to the return shape (zone plus spots with slugs and urls), which is modest given there is no output schema; it says nothing about pagination, result caps, or what happens for an unknown slug.

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, both earning their place: the first front-loads the usage condition, the second states the return payload. 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?

For a single-parameter read tool with full annotation and schema coverage, the description supplies the missing pieces an agent needs: when to call it and roughly what comes back. Edge-case behavior for invalid or ambiguous slugs is the only notable gap.

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 the slug property already documents accepted forms (quadrant, area, landmark) with examples and a pointer to list_zones. The description adds nothing about the parameter, so the baseline of 3 applies.

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 states a specific outcome: it returns the zone plus 'a compact list of its spots with slugs and urls', which tells an agent this is a zone-scoped listing operation. It doesn't explicitly contrast itself with search_spots or get_spot, so sibling differentiation is left to inference.

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?

It gives a clear trigger condition ('when the user wants ALL the work spots in one area') plus a concrete example utterance, which is enough to route an enumeration request here. It stops short of naming alternatives like search_spots for filtered queries, so there are no explicit exclusions.

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