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

With no annotations, the description carries the full behavioral disclosure burden. It lists data types but does not disclose return format, error behavior, authentication needs, or any other behavioral traits. The implied read-only nature is not enough to score higher.

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 compact sentence that is mostly efficient, but the word 'Precise' is filler and adds no functional value. It is concise and front-loaded, but not maximally lean.

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?

The single-parameter schema is fully documented, and the description lists the returned data categories. However, with no output schema or annotations, the description does not explain response structure or how this tool fits alongside siblings, leaving only adequate context for selection and invocation.

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% for the single parameter, productId, which already documents accepted formats (numeric ID, exact product title, or slug). The description adds no input semantics, so the baseline of 3 is appropriate.

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 clearly identifies the tool as returning technical specifications and enumerates specific data fields (power, airflow, vacuum, filter, dimensions, weight, Atex marking). It uses a clear verb+resource structure, but does not explicitly distinguish it from related tools like getPowerValues or getProductData.

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 versus alternatives such as getPowerValues, getMotorPowerValues, or getProductData. The description implies a consolidated technical data lookup but lacks explicit context, prerequisites, or exclusions.

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