data_status

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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly conveys that this is an introspection/status tool covering three specific facts, which implies a read-only nature. However, it does not state whether authentication is required, whether it calls external systems, or any side effects. It adds useful context but omits behavioral details.

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 a single sentence and wastes no words, front-loading the main point about data source configuration. The phrasing is slightly awkward ("what to set up" is a bit unclear), but the overall length and structure are appropriate for the tool's simplicity.

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?

Given zero parameters, an output schema, and low complexity, the description covers the essential purpose well: it names the three kinds of information the tool provides. It does not need to explain return values because an output schema exists. The only missing element is a brief note on when the status should be checked, which is a usage-guidance gap rather than a completeness failure.

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?

The tool has zero parameters and the schema coverage is 100%, so there is nothing for the description to add on parameter meaning. Per the baseline for a parameterless tool, this scores a 4. The description correctly avoids inventing parameters that do not exist.

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 what the tool reports: configured data sources, timetable freshness, and setup instructions. While the verb is implicit rather than explicit ("get" or "show" is missing), the resource and scope are specific enough to distinguish it from the travel-data siblings. It could be stronger with an explicit verb, but it is not vague or tautological.

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 description gives no guidance about when to use this tool versus alternatives. The sibling tools are clearly about live travel data, so context implies that data_status is for configuration and health checks, but no when-to-use or when-not-to-use conditions are stated. An agent must infer the use case without explicit direction.

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