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

Annotations already declare this as a read-only, idempotent, non-destructive, closed-world operation, so the safety profile is covered. The description adds real behavioral value beyond that: the return shape (pass/warn/fail per check with the limit and the reason), the set of supported processes, and the unit convention for inputs.

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?

Three tight sentences: purpose first, then return semantics, then the process list and unit convention. The long parameter enumeration is justified because the nested params object is free-form and undocumented elsewhere, so every token earns its place.

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 output schema, the description correctly fills the gap by explaining the per-check pass/warn/fail result including limit and reason. It also covers processes and units, but says nothing about behavior on unsupported processes, missing/invalid keys, or how strictly 'typical' rules apply per process.

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 coverage is only 50% and 'params' is an additionalProperties object whose schema description merely says 'see the tool description', so the description carries most of the burden. It delivers by enumerating the expected keys and their units (thickness_mm, bend_radius_mm, draft_deg, material, etc.), though the list is explicitly non-exhaustive ('for example'), leaving some ambiguity about required vs optional keys.

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 precise verb (check) and resource (a design) plus the ruleset it validates against, and positions the tool in the workflow ('before you request quotes'). It is clearly distinguishable from a passive rules-lookup sibling such as get_design_rules.

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 phrase 'before you request quotes' gives clear timing/context for when to call it, which is more than most definitions offer. However, it never names an alternative tool (e.g. get_design_rules for raw rules, or estimate_product_cost) or states when not to use it, so it stops short of explicit routing.

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