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Vibe Manufacturing

submit_quote_request

Send a quote request for the human you act for. Only call after the user agreed that the request and email may be shared with suitable manufacturers. A person reviews it and replies by email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesReply address of the human requester
countryNo
processNo
quantityNo
descriptionYesPart, material, size, tolerances, file formats
user_consentYestrue only if the user agreed to share the request with manufacturers

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations cover the write/idempotency profile, and the description adds meaningful non-schema behavior: the request is shared externally with manufacturers, a human reviews it, and the reply arrives by email (asynchronous, non-instant). This consent and human-review disclosure is genuinely additive. It stops short of stating what happens on failure or whether the submission can be retracted.

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

Conciseness5/5

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

Three tight sentences, front-loaded with the action, then the gating condition, then the outcome. No filler or repetition.

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

Completeness3/5

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

With six parameters and no output schema, an agent still lacks detail on the three undocumented optional fields and on what a successful submission returns (an ID? a confirmation?). The description does explain the downstream human-review/email-reply flow, which is the most important missing piece, but not enough to be fully complete.

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 coverage is only 50%, leaving country, process, and quantity undocumented in both schema and description. The description adds no parameter meaning at all — no note that country/process/quantity are optional, no format guidance for quantity or process selection — so it fails to compensate for the coverage gap.

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 verb+resource ("Send a quote request") and clarifies it is on behalf of the human the agent acts for. It does not differentiate itself from close siblings like submit_quote or create_rfq, which an agent could easily confuse with this one.

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?

"Only call after the user agreed that the request and email may be shared" gives a clear, explicit precondition for invocation, and the sentence implicitly warns against premature calls. However, it names no alternative tool or scenario where a sibling (e.g., submit_quote, create_rfq) would be preferred.

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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