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

Annotations confirm read-only (readOnlyHint=true, no writes), but the description adds critical behavioral detail: returns a generator link, totals, consistency checks, and explicitly 'Nothing is stored.' This tells the agent the tool is stateless and what side effects (none) to expect.

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 tightly packed sentences: first states what is created, second describes return contents, third states no persistence. Front-loaded, zero waste.

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 13 params, nested objects, and no output schema, the description adequately covers return shape (link, totals, checks) and safety (read-only, no storage). It doesn't explain the numerous nested parameters, but for an agent deciding whether to call, the key behavioral facts are present.

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 46%, so the schema handles some param docs. The description mentions output generation but doesn't explain parameter meaning beyond what's in the schema; it does not compensate for the 54% undocumented param space.

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 ('Create') and concrete resource ('matching proforma invoice, commercial invoice, packing list and shipping instruction') from one dataset. It's clearly distinguishable from siblings like calculate_shipment and lookup_hs_code.

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 phrasing 'from one set of order data' implies usage when you have consolidated order info. However, it doesn't explicitly state when to use this vs. the siblings or list any prerequisites/exclusions; usage is inferred rather than spelled out.

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