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create_set_by_face

Create a named set from selected faces of an instance in an Abaqus model, enabling targeted mesh or load assignments.

Instructions

Create a set from faces of an instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timeoutNo
set_nameYes
model_nameNoModel-1
face_indicesYes
instance_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only reveals that the tool creates a set, which is a mutation, but says nothing about side effects, required permissions, whether existing sets are overwritten, how invalid face indices are handled, or any other behavioral consequences. This is a significant gap for a model-modifying operation.

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 sentence with no filler, front-loaded with the primary action and object. Every word contributes to meaning; this is appropriately concise for the information it conveys.

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

Completeness2/5

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

With 5 parameters, 3 required, no annotations, and only a one-line description, the agent lacks sufficient context to invoke the tool correctly. The output schema is present, so return values are covered, but there is no guidance on how to specify face indices, identify the instance, or choose this tool over its siblings. The description is too thin for the tool's complexity.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It semantically ties face_indices and instance_name to the concept of 'faces of an instance', but it does not explain set_name, model_name, or timeout. The required set_name parameter is only implied by the phrase 'create a set', and optional parameters remain entirely opaque.

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 the action (create) and the resource (a set from faces of an instance), using the specific element type 'faces' to distinguish it from sibling tools like create_set_by_edges and create_set_by_vertices. Though it does not name the siblings explicitly, the face-based selection makes the purpose unambiguous.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives such as create_set_by_edges, create_set_by_vertices, or surface creation tools. No prerequisites, exclusions, or contextual triggers are provided, leaving the agent to infer usage entirely from the tool name and short description.

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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