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

Annotations only declare readOnlyHint=true, so the safety profile is covered; the description usefully adds that results come back scored and accompanied by reasons. That explainability detail matters because no output schema exists, though ranking criteria, tie-breaking, or result limits are still undisclosed.

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 sentences, zero filler, and the core action is front-loaded before the return-value detail. Nothing could be cut without losing information.

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?

For a 9-parameter ranking tool with no output schema and only partial schema coverage, the description covers purpose and return shape but omits how parameters influence ranking, whether results are limited or paginated, and how ties are resolved. Adequate minimum, with clear gaps.

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 only 44% across 9 parameters, so the description would need to compensate, and it does not: process, materials, industries, certifications, limit, and tolerance behavior are never mentioned. 'Structured part spec' is too vague to map onto any specific 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 ('Rank manufacturers') plus the input it consumes ('a structured part spec'), which is more precise than a tautology. It does not, however, name or differentiate itself from plausible siblings such as find_suppliers or estimate_product_cost, leaving the agent to infer the boundary.

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 'for a structured part spec' hints at the intended input, but there is no explicit when-to-use guidance, no when-not-to-use condition, and no mention of the sibling tools that overlap with this one (find_suppliers, list_manufacturing_tools). The agent must guess at the routing.

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