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

Annotations only declare readOnly=false, idempotent=false, destructive=false, so the description carries most of the burden and does add real value: it discloses an external side effect (emails are sent to opted-in manufacturers), the consent precondition, and the return payload (contact, quote-form and agent links, RFQ id, token). It does not warn that re-calling creates duplicate RFQs and duplicate emails, which matters given idempotentHint=false.

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, no filler, and the outcome is front-loaded before the consent constraint. Slightly dense clauses ('direct contact, quote-form and agent links for all matches plus an RFQ id and a token') cost it the top mark.

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 usefully explains what is returned (links, RFQ id, token), which is a real contribution. But for a 15-parameter, non-idempotent creation tool with 20% schema coverage, the missing parameter guidance and duplicate-submission warning leave an agent under-informed.

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 20% across 15 parameters, and the description compensates with nothing about the inputs — it only enumerates return values (links, RFQ id, token). Key inputs such as process, quantity, materials, cad_files, needed_by, tolerance_mm, certifications and ship_to_country are undocumented in both places.

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 ('Create a structured request for quotation') and explains the downstream behavior (matching manufacturers, emailing opted-in ones, returning links plus RFQ id and token), which differentiates it from read-oriented siblings like get_rfq. However, it never distinguishes itself from the near-identical sibling submit_quote_request, so an agent cannot route between the two from the description alone.

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?

Provides an explicit precondition: 'Only call after the user agreed that the request is shared with matched manufacturers,' which is a genuine gating rule rather than vague advice. It stops short of naming alternatives (e.g., find_suppliers, match_manufacturers, submit_quote_request) or stating when not to use it.

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