Skip to main content
Glama

Create cycle model

create_cycle_model

Instantiate a pyCycle/OpenMDAO problem for a specified engine cycle to enable analysis and simulation workflows.

Instructions

Instantiate a pyCycle/OpenMDAO Problem for a specified engine cycle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
optionsNo
cycle_typeYes
cycle_module_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
model_nameNo
session_idNo
top_promoted_inputsNo
top_promoted_outputsNo
Behavior2/5

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

Annotations provide no behavioral hints (e.g., readOnly, destructive). The description says 'instantiate' but does not disclose side effects such as whether it creates a new in-memory object, closes previous models, or requires any prerequisites. This leaves the agent without useful behavioral context.

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, front-loaded sentence with no wasted words. It gets straight to the point and is appropriately sized for a one-liner, though the brevity sacrifices information richness.

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?

The tool has four parameters including two required ones, but the description does not explain how to use them. It also does not mention the output, the relationship to sibling tools, or any operational considerations. Given the moderate complexity and lack of annotation support, the description is not complete enough for reliable agent invocation.

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

Parameters1/5

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

The input schema has 0% description coverage and no enums. The description only says 'specified engine cycle,' which vaguely hints at cycle_type but completely omits the meaning and usage of mode, options, and cycle_module_path. No parameter relationships or examples are provided.

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 a specific action ('Instantiate a pyCycle/OpenMDAO Problem') and a specific resource ('for a specified engine cycle'). This distinguishes it from sibling tools like close_cycle_model, get_cycle_summary, and list_variables, which perform other lifecycle or query operations.

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?

No explicit guidance on when to use this tool versus alternatives. The name and sibling context imply it is the entry point for creating a cycle model before running other operations, but this is not stated, and no exclusions or alternatives are mentioned.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cmudrc/pycycle-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server