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

The annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that a report is sent to a team and what content to include, but it does not explain what happens after submission or any confirmation behavior. With annotations carrying the main behavioral signals, this is adequate but not rich.

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?

Three sentences, all front-loaded and purposeful: purpose and report categories first, then field guidance, then usage context. No filler or repetition; every sentence earns its place.

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 seven parameters, 43% schema coverage, and no output schema, the description supplies the essential context an agent needs: what the tool does, when to use it, and what to include. It could be stronger by clarifying required fields or post-submission behavior, but it is largely complete for a reporting tool.

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 only 43%, so the description must compensate. It does map the report kinds to plain language and advises including indicator, place, and period when known, which adds useful guidance beyond the bare enum and parameter names. However, it does not fully document all parameters or explain the required kind/message constraints, leaving gaps.

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 verb and resource: 'Sends a report to the datosmcp team.' It then enumerates the reportable conditions (wrong value, missing data, mismatched answer, better source), which distinguishes this tool from the many data-query and search siblings.

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 usage trigger: 'Use when the user asks to report something, or when you find a clear error in a result.' However, it does not state when not to use it, such as for normal data retrieval, which is left to inference from the sibling tool set.

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