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sethski

tinkercad-mcp-server

by sethski

Open Tinkercad circuit

tinkercad_open_circuit
Idempotent

Open a Tinkercad Circuits design by URL or thing ID, or create a new one from the dashboard, then receive a snapshot of the ready editor.

Instructions

Open an existing Circuits design or start from the Circuits dashboard.

Args:

  • target (string): Full tinkercad.com URL, a thing id, or 'new'

  • response_format ('markdown' | 'json')

Returns: Circuit snapshot after the editor is ready.

Examples:

Error Handling:

  • Login wall: sign in in Chrome, then retry

  • Non-Tinkercad URLs are rejected

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesCircuit URL, Tinkercad thing id, or 'new' to create a circuit from the dashboard
response_formatNoOutput format: markdown for humans, json for machine processingmarkdown

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, and destructive hints, and the description adds real behavioral context: it returns a circuit snapshot after the editor is ready, can encounter a login wall requiring Chrome sign-in, and rejects non-Tinkercad URLs. No contradiction with annotations.

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?

The one-line purpose is front-loaded, and the Args/Returns/Examples/Error Handling sections make the content easy to scan. It is slightly longer than necessary because it repeats schema parameter descriptions, but each section still earns its place.

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?

The description covers target formats, the return summary, and known errors, which is enough for a basic call. However, there is no output schema and only a vague 'Circuit snapshot' return description, leaving the snapshot structure and fields underspecified.

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 coverage is 100%, so the input schema already fully describes target and response_format. The description mostly restates the schema, though the concrete examples of URL, thing id, and 'new' add a little practical disambiguation. This is the expected baseline when the schema carries most of the parameter meaning.

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?

The first line names a concrete action, 'Open', on a specific resource, Circuits designs, with a clear second branch for starting from the dashboard. This distinguishes it functionally from read-style siblings like tinkercad_get_circuit, but it does not explicitly name a sibling, so it does not fully earn a 5.

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

Usage Guidelines3/5

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

The description gives usable context: open an existing design or start from the dashboard, with examples of target values and login-wall retry guidance. However, it does not explicitly state when to prefer this tool over alternatives such as get_circuit or build_circuit, leaving the selection logic to inference.

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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