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request_assembly_quote

request_assembly_quote

Submit a manufacturing quote request after the user has reviewed and explicitly approved the checklist and every displayed warning. KernelCAD staff will confirm the final itemized price. This sends the request for human review and does not charge the customer or start checkout.

Input Schema

NameRequiredDescriptionDefault
emailYesContact email for the quote response.
paramsNoCurrent CAD parameter values. Materials and sheet thickness come from the CAD design.
sourceNoCurrent kernelCAD source for an unsaved assembly.
assemblyNoAssembly name when the script contains multiple assemblies.
checklistYes
requestIdYes
accessTokenNoGuest access token returned by estimate_assembly_manufacturing; required when submitting as a guest.
projectSlugNoSaved project slug. Use this for a saved assembly.
idempotencyKeyYes
projectVersionNoImmutable saved revision to estimate.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behavior: submission triggers human review, the final itemized price is confirmed by staff, and no charge or checkout occurs. It also makes the required explicit user approval a behavioral precondition, which is valuable for a non-read-only, open-world action.

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?

The description is front-loaded with the core action, then adds the human-review and no-charge outcome in two tight sentences. Every sentence adds useful selection or safety context without waste.

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

Completeness4/5

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

For a complex submission tool, it covers purpose, user-approval prerequisite, human review, and no-charge behavior. Some operational details such as obtaining hashes/requestId and guest versus saved-project submission are left to the schema, but the description plus annotations and output schema are largely sufficient.

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

Parameters3/5

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

Schema description coverage is 70%, so many parameters are already documented. The description reinforces checklist approval and warnings but does not explain requestId, idempotencyKey, modelHash, snapshotHash, or how saved versus unsaved assemblies should be selected.

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

Purpose5/5

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

The description states a specific verb and resource: submit a manufacturing quote request. It also distinguishes the action from checkout/charging, so an agent can tell this is a quote-request submission rather than an order or payment flow.

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?

It gives a clear precondition: the user must have reviewed and explicitly approved the checklist and every displayed warning. It also clarifies that the request goes to human review and does not charge or start checkout, though it does not explicitly name estimate_assembly_manufacturing or other alternatives.

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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