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

With no annotations provided, the description carries the full behavioral burden. It clearly discloses the rich return content—configuration, session status, metrics, health ratings, payment problems, restrictions, and fixable issues—which is valuable context. It stops short of explicitly stating that this is a read-only operation with no side effects or noting any auth/rate-limit considerations.

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 four sentences, front-loaded with purpose, then return values, then Cloud API specifics, then a diagnostic use case. Every sentence contributes unique information with no redundancy.

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 no output schema and no annotations, the description does a good job explaining what is returned, including the Meta health details for Cloud API numbers. It could be slightly more complete by confirming that the call is read-only and does not modify device state, but otherwise it provides sufficient context to invoke the tool correctly.

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 100%, so all four parameters are fully documented in the schema. The description only implies the deviceId parameter ('using its ID') and adds no meaning beyond the schema for includeMetrics, includeSettings, or includeSessionLogs, so the baseline of 3 applies.

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 uses a specific verb ('Retrieve') and resource ('detailed information about a specific WhatsApp device using its ID'). The singular 'specific device using its ID' naturally distinguishes it from the sibling list tool get_whatsapp_devices, and the added detail about Cloud API health makes the scope unambiguous.

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 diagnostic use case: 'Use it to find out why messages are not going out.' However, it does not explicitly compare against alternatives (e.g., get_whatsapp_devices for listing) or state when not to use it, so it falls short of a 5.

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