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

With no annotations to rely on, the description carries the burden and does a solid job: it warns that a passed date does not confirm publication and that related series readings are not verified against the scheduled release. This is meaningful behavioral context beyond the schema, though it does not cover error handling or 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?

The description is two sentences with no filler. The core subject is front-loaded in the first sentence, and the second sentence packs critical caveats compactly without being verbose.

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 read-oriented calendar tool with fully described optional parameters, the description conveys the main output type, mentions primary source URLs, and provides the key reliability caveats. It is slightly less complete because there is no output schema and the return shape is not described beyond the basic calendar concept.

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%, so the schema already documents all six parameters. The description adds contextual nuance about date-passed status and unverified related series, which is useful, but it does not add per-parameter meaning; baseline 3 is appropriate.

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 clearly identifies the resource: institutional release schedules with primary source URLs, and the tool name 'get_release_calendar' reinforces the action. It distinguishes the tool from data-series siblings by focusing on schedules rather than indicator values, though it does not explicitly contrast it with any sibling.

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 usage context is implied by 'release schedules': an agent can infer this is for upcoming or past institutional release dates rather than historical data. However, the description offers no explicit when-to-use guidance, no exclusions, and does not name an alternative tool such as get_series_data or get_historical_data.

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