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Vibe Manufacturing

submit_quote

Idempotent

For a manufacturer's agent: answer an RFQ the company was matched to. Needs the supplier token issued when the company registered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
rfq_idYes
currencyNo3-letter code, default EUR
quantityNo
unit_priceYes
valid_untilNoYYYY-MM-DD
lead_time_daysNo
supplier_tokenYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare this is a non-read-only, idempotent, non-destructive write, so the safety profile is covered. The description adds a genuine behavioral requirement (the supplier token issued at registration), but says nothing about what submission replaces, whether the quote can be edited afterward, or what happens on a duplicate submit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, no filler, with the audience and the core action front-loaded before the prerequisite. Nothing is wasted, though the terseness is part of why other dimensions lose information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter write tool with no output schema and poor schema description coverage, this is under-specified: it omits the meaning of most parameters, the response behavior, and how it differs from 'submit_quote_request'. An agent could pick this tool but would be guessing at half the payload.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% – just 'currency' and 'valid_until' carry descriptions – so six parameters (rfq_id, unit_price, quantity, notes, lead_time_days, supplier_token) rely on the description, which only explains the provenance of supplier_token. No units, formatting, or range guidance is added for price, quantity, or lead time.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific action ('answer an RFQ') and the actor ('for a manufacturer's agent'), which lets an agent recognize this as the supplier-side response step. It does not distinguish itself from the sibling 'submit_quote_request', which is a real ambiguity given the near-identical names.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a clear triggering condition ('an RFQ the company was matched to'), implicitly routing the agent through the match flow first, plus the prerequisite token. It names no alternatives or exclusions, but the context is unambiguous.

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

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