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Solitario119

IC-CAP MCP Server

by Solitario119

setup_create

Creates a new Setup object in an IC-CAP project at a specified path, with optional overwrite of an existing Setup when explicitly enabled.

Instructions

Create a Setup object. Set overwrite=true explicitly to replace an existing Setup. Ordering: Transforms may be created before or after setup_import_mdm — both orders are supported (live-verified 2026-09-02: derivative, Optimize, and PythonLocal transforms created after import, no hangs). Importing data before creating program transforms lets their UPDATE_AUTO auto-execution run against real data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
overwriteNoDelete and replace an existing Setup only when explicitly enabled
setup_pathYesSetup path, e.g. '/model/dut/setup_name'
allow_without_checkpointNoProceed only if an automatic pre-overwrite save fails; use with care

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the overwrite behavior, the ordering flexibility, and the auto-execution behavior of UPDATE_AUTO transforms. It doesn't mention error conditions or side effects beyond overwrite, but the key behavioral traits are covered.

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 description is reasonably concise and front-loaded with the core purpose. The ordering note is a bit verbose with the parenthetical date and details, but it provides valuable context. Every sentence earns its place, though the parenthetical could be tightened.

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 creation tool with 3 parameters and no output schema, the description covers the essential context: what it creates, overwrite behavior, and ordering with a sibling tool. It doesn't explain return values, but no output schema exists and the tool's purpose is clear. The live-verified note adds credibility.

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 100%, so the schema already documents all three parameters. The description adds context about overwrite=true being explicit and the ordering benefit, but doesn't add much beyond what the schema provides. Baseline 3 is appropriate.

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 description clearly states the tool creates a Setup object, with a specific verb and resource. It distinguishes itself from siblings like setup_import_mdm by mentioning ordering relationships, though it doesn't explicitly name all sibling alternatives for creation.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool, including the overwrite behavior and the ordering relationship with setup_import_mdm. It gives concrete, live-verified context about supported orders and the benefit of importing data before creating program transforms, which helps an agent decide when to call this tool.

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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