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

Annotations already cover the safety profile (readOnly, idempotent, openWorld=false), so the bar is lower, yet the description adds substantial behavior: results are dimension-scoped, not drop-in, they are not drop-in replacements and must be presented as 'comparable on <dimension>', ambiguous input yields candidate families, and the builder link requires a SKUit account.

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 front-loaded with the core scope in the first clause and the result-interpretation rule second, with fallback and output context trailing. It is dense and long-ish for one parameter, but nearly every sentence adds a behavioral rule the agent would otherwise get wrong.

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 carries the burden of explaining returns and does so explicitly (catalog_url for the public page, build_bom_url for building a BOM, plus the account requirement). Combined with the ambiguity fallback and the comparison-dimension caveat, an agent has everything needed to call and present results 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 coverage is 100%, so the single parameter's type and limits are already documented, making 3 the baseline. The description goes beyond that by supplying concrete example formats ('Cisco 9300X', 'C9300X-48HX') and clarifying vendor-prefix usage, which helps the agent construct a valid value.

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 ('find published alternatives to a product') and pins down the exact scope: one class up, same class, one class down, same role, same vendor first. This is distinguishable from catalog_search_platforms and catalog_get_platform, which search and retrieve rather than compute comparable alternatives.

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 gives clear context for when this is the right call (you have a part number or family and want alternatives) and describes the ambiguous-name fallback ('returns the candidate families to choose from'). It never explicitly routes the agent away from the sibling search/get tools, so it stops short of full when-not guidance.

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