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

With no annotations provided, the description does not disclose whether this is a read-only operation, what the response format is, or any dependencies. It implies a dashboard view but doesn't explicitly state it won't modify data or require permissions, leaving significant behavioral ambiguity.

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, concise line that packs meaningful content into few words. It is front-loaded with 'Dashboard' and lists metrics without redundancy, earning every word.

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?

While the description names four metrics, it omits details on how these are represented (e.g., counts, percentages, date ranges) and doesn't provide an output schema. For a no-param tool it's adequate but leaves room for interpretation, so it's neither fully specified nor inadequate.

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, so the schema fully covers parameter semantics. The description doesn't need to elaborate, and the empty schema is trivially complete, meeting the baseline for no-param tools.

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 identifies the tool as a dashboard presenting four specific metrics (volume, risk distribution, test/rollback coverage, emergency ratio), which gives a clear sense of its function. It differentiates from sibling tools like list_changes and health_check by focusing on aggregated statistics, though it lacks an explicit verb like 'returns' or 'displays'.

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?

No guidance is provided on when to use this tool compared to alternatives such as list_changes or change_risk_assess. The description only outlines content without specifying appropriate use cases or exclusions.

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