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

No annotations are present, so the description carries the full behavioral burden. It does disclose the commercial-upsell nature of the output, but says nothing about whether it mutates state, what permissions or inputs are required, response format, or rate/cost limits for a tool with three free-form parameters.

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?

Two tight sentences, front-loaded with the tool's nature before the recommendation behavior. No filler, though the brevity here comes at the cost of missing detail rather than efficient packaging.

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?

With no annotations, no output schema, and three undocumented parameters, the description should explain what the diagnostic returns (e.g., a diagnosis plus a recommended paid service) and what inputs are expected. It only asserts a purpose, leaving the agent unable to call it with confidence.

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 0% with three parameters (machine, problem, evidence), so the description must compensate. 'Submitted machine evidence' loosely gestures at machine/evidence, but 'problem' is entirely unexplained and no format, structure, or expected content is given for any parameter.

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?

States a specific verb and resource: it diagnoses machine evidence and recommends a paid GENESIS* service. The 'commercial routing' framing clarifies that its output is a service recommendation, which is more than a tautology of the name. However, it never contrasts itself against siblings like service_compare or purchase_decision.

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 word 'Free' strongly implies this is the entry-point step before committing to a paid service, which gives an agent an implicit when-to-use cue. But it never states when NOT to use it or which sibling (service_compare, purchase_decision) to pick instead, leaving routing to inference.

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