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

With no annotations provided, the description carries the behavioral disclosure burden and does it well: it states that a human reviews every ticket, that no order is decided by this tool, and that it returns a ticket ID for polling. This gives the agent an accurate model of how the operation behaves beyond simply 'submitting'.

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 three tight sentences with no filler. The core action, human-review behavior, return value, and optional references are all front-loaded or clearly positioned, making it easy for an agent to scan and act.

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 submission tool with no output schema, the description appropriately discloses the return value (ticket ID) and how to use it (poll via check_rfq_status). Combined with the fully documented schema, the agent has enough context to invoke this tool correctly and understand its result.

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 input schema already documents all seven parameters well. The description adds only minor reinforcement about the optional GTIN and SM-ECO-10060 market code, which slightly complements the schema but does not materially improve parameter understanding.

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?

The description states a specific action ('Lodge a request-for-quotation') against a named organization (GreenCore Solutions Corp.) and clearly distinguishes this from related tools by noting it does not decide orders and returns a ticket for polling via check_rfq_status. The purpose is unambiguous and the tool's role in the quote workflow is clear.

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 operational context: this is for requesting a quotation, a human will review it, and results are polled through check_rfq_status. It does not explicitly state when to use request_terms or escalate instead, so it stops short of full alternative routing, but the main usage context is evident.

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