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pzfreo

build123d-mcp

session_state

Obtain a structured JSON snapshot of the current session showing shape metrics, named objects, snapshot names, and variable summaries to confirm geometry and variables after resets or multi-step builds.

Instructions

Return a structured JSON snapshot of the current session: current_shape metrics, all named objects (replaces list_objects) with geometry stats, snapshot names, and a variables summary of the Python namespace (type + volume for shapes, type + length for collections, type + value for scalars). Use this to orient after a reset, restore, or multi-step build to confirm what geometry and variables are active.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 fully explains the return value: current_shape metrics, named objects with geometry stats, snapshot names, and variables summary. It implies a read-only snapshot operation with no side effects, which is appropriate.

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 a single, well-structured sentence that is dense with information and free of redundancy. Every clause adds value, front-loading the purpose and then detailing contents.

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?

Given zero parameters, an output schema, and a detailed description covering return fields and use cases, the description is fully complete. The agent can confidently select and invoke this tool based on the description alone.

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?

The tool has zero parameters, so the schema coverage is 100% by default. Baseline for 0 parameters is 4. The description adds no parameter-level detail, but none is needed.

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 clearly states it returns a structured JSON snapshot of the current session, including current_shape metrics, named objects (replacing list_objects), snapshot names, and variables summary. This is a specific verb+resource combination that distinguishes it from sibling tools like reset or restore_snapshot.

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?

The description explicitly states when to use: after a reset, restore, or multi-step build to confirm active geometry and variables. It also mentions it replaces list_objects, providing context. However, it does not explicitly state when not to use or exclude 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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