Skip to main content
Glama
loumalouomega

Kratos MCP Server

kratos_get_solver_defaults

Retrieve default solver settings for any analysis type and solver type. Returns complete GetDefaultParameters() output for structural, thermal, fluid, or potential flow.

Instructions

Return the complete default solver_settings parameters for a solver, as reported by its GetDefaultParameters(). analysis_type is one of structural/thermal/fluid/potential_flow; solver_type one of the values from kratos_list_solvers (e.g. 'Static', 'transient', 'Monolithic').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
solver_typeYes
analysis_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the burden. 'Return' and 'as reported by GetDefaultParameters()' clearly imply a read-only query with no side effects. It doesn't discuss permissions or error handling, but for a getter this is acceptable and the output schema covers return details.

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?

Two sentences, front-loaded with the primary action, and no redundant information. Every clause earns its place, making it efficient and easy to process.

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?

Given the tool's simplicity, the presence of an output schema, and the clear parameter guidance, the description is sufficiently complete. It could mention prerequisites like solver installation, but that is handled by sibling tools and is not critical for a getter.

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 schema has 0% description coverage, but the description adds meaning by explaining analysis_type as one of structural/thermal/fluid/potential_flow and solver_type as a value from kratos_list_solvers with examples. This compensates well for the schema gap.

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 uses a specific verb and resource: 'Return the complete default solver_settings parameters for a solver'. It clearly distinguishes from a sibling tool like kratos_get_process_defaults by focusing on solver defaults, not process defaults.

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?

Provides clear context by listing valid analysis_type values and directing to kratos_list_solvers for solver_type values. It implies when to use (to fetch solver defaults) but does not explicitly contrast with alternatives like kratos_get_process_defaults or state when not to use.

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/loumalouomega/Kratos-MCP-Server'

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