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Ansys Rocky MCP

Ansys Rocky MCP

by wattwong103

Rocky Get Curve

rocky_get_curve

Retrieves time-series curve data from a Rocky simulation by curve name, optionally filtered by selection, to analyze simulation results.

Instructions

Read a time series produced by the simulation.

Input Schema

NameRequiredDescriptionDefault
nameYesCurve name, for example ``"Particles Count"`` or ``"Particles Mass Flow In"``.
unitNoUnit of the curve values. When omitted, the Rocky default is used.
selection_idNoIdentifier of a selection process. When given, the curve is read for that selection instead of the whole domain.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

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 behavioral burden. 'Read' implies non-destructive access, but it does not state permissions, side effects, error behavior, or required simulation state. The output schema reduces return-value concerns, but significant behavioral gaps remain.

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?

A single sentence with zero waste, front-loading the verb and resource. It is appropriately concise, though it borders on being too terse for a tool with selection and unit options.

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?

Given low complexity, full schema coverage, and an output schema, the description is minimally adequate. It still lacks prerequisite and selection-context guidance, which an agent would need for confident invocation.

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 thoroughly. The description adds no additional meaning beyond the schema, so the baseline score of 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?

States a specific verb ('Read') and resource ('a time series produced by the simulation'). The intent is clear, though it does not explicitly differentiate from siblings; however, there are no other curve-reading siblings, so this is acceptable.

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

Usage Guidelines2/5

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

Provides no indication of when to use this tool versus alternatives such as rocky_list_processes or rocky_get_grid_function_stats. It also omits prerequisites like needing an open project or a completed simulation, leaving usage entirely implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.