analytics_data_quality

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only states that this tool produces alerts. It does not explain whether it's read-only, what triggers the alerts, how data is returned, or any side effects. The behavior is effectively opaque.

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 extremely short, but this is under-specification rather than effective conciseness. While there is no wasted verbiage, it lacks enough content to be useful, making it not appropriately sized for the information an agent needs.

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?

Despite having only one parameter and no output schema, the description is far from complete. An agent cannot infer what the tool returns, how to interpret the alert data, or what 'fields' should contain. Even basic expectations are missing.

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 only parameter 'fields' is described only as a string with no schema description (coverage 0%). The tool description doesn't explain what 'fields' refers to or what values are expected. The description fails to compensate for the lack of schema documentation.

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 'Alertas calidad de datos en compras e ingredientes' identifies a resource (data quality alerts in purchasing and ingredients) but uses a noun phrase rather than a specific verb. It conveys a vague purpose, not a clear action, and doesn't differentiate from sibling tools like analytics_alerts.

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 provides no guidance on when to use this tool versus alternatives. No exclusions, prerequisites, or comparative context with sibling tools are given. An agent has no way to decide between this and analytics_alerts.

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