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Mandarin 3D

Quote a 3D model

quote_file
Idempotent

Slice a 3D model and return its exact price delivered by USPS Ground Advantage. Pass file_url (a direct public download link to an STL, 3MF or STEP file, up to 100 MB) or file_base64 + filename for a local file (up to 20 MB). Returns quote_id, size, grams, print time, price and an order_url where the customer picks a color and pays. Takes 5-60 seconds for a new file.

Input Schema

NameRequiredDescriptionDefault
qtyNoHow many copies to price. Default 1.
file_urlNoDirect download URL of the model (not a web page that shows it).
filenameNoFile name with extension, e.g. bracket.stl. Required with file_base64.
file_base64NoThe model file, base64-encoded. Use for files on the user's machine.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Adds real context beyond the annotations: 100 MB URL vs 20 MB base64 limits, a 5–60 second latency expectation for new files, and the returned quote_id/order_url flow. It does not discuss idempotency or the auth/rate-limit profile, though the annotations already flag idempotent and open-world behavior.

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?

Four tight sentences: what it does, how to supply the file, what comes back, how long it takes. No filler and the core action leads.

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

Completeness5/5

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

With no output schema, the description correctly enumerates the return fields and the follow-on order_url, and it covers size limits, formats and latency. An agent has everything needed to call it and interpret the result.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3; the description still adds value by giving the size caps and the file_url vs file_base64 + filename pairing rule, which the schema only partially implies. It omits qty from the description, but the schema documents it fully.

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 and resource — slice a 3D model and return an exact delivered price — plus the shipping method, so the function is unmistakable. It never names or contrasts with the sibling tools (price_quote, create_checkout), so an agent must infer the boundary itself.

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?

Clearly routes between the two input modes: file_url for a public direct download link, file_base64 + filename for a local file, with size caps for each. It stops short of saying when to choose this over price_quote or create_checkout.

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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