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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered by structured data. The description adds useful context by identifying the underlying endpoint and the dashboard-widget semantics, but says nothing about freshness, timezone handling, or whether counts are scoped per location.

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 compact sentences, front-loaded with the purpose and return contents. The trailing API endpoint reference is extra but plausibly useful for debugging and costs little.

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?

With no output schema, the description does name the returned fields (check-ins, check-outs, overnights), which is what an agent needs. Minor omissions remain around timezone/location scoping and whether counts are totals or lists.

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 100% and the single parameter is documented as 'The date (YYYY-MM-DD)'. The description only echoes 'for one date', adding no format, range, or default detail beyond the schema, so baseline 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?

States a specific verb (Get) and resource (summary of reservations for one date) and enumerates the exact contents: check-ins, check-outs, overnights. The parenthetical about the Gingr dashboard widget anchors the concept, and it is clearly distinguishable from siblings like list_reservations or list_checked_in.

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?

Usage is implied rather than stated: the description frames this as the aggregate dashboard widget for a single date, which signals it is for counts rather than record listings. However, it never explicitly says when to prefer this over list_reservations or list_checked_in, nor any exclusions.

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