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etabs-mcp

etabs-mcp

by LATINALU
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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etabs_load_combinations

Retrieves load combinations from an ETABS model, optionally including the load cases and factors that define them.

Instructions

Combinaciones de carga y, opcionalmente, los casos y factores que las componen.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "etabs_load_combinations"
  }
}

Input Schema

NameRequiredDescriptionDefault
include_casesNo

Output Schema

NameRequiredDescriptionDefault
resultYes

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 burden. It discloses that the tool returns combinations and optionally their cases/factors, but does not state whether it is a read-only operation, any side effects, or performance implications. This is minimal behavioral disclosure.

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 concise sentence that immediately conveys the core purpose and the optional parameter. It is front-loaded and contains no filler.

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 (one optional parameter) and the presence of an output schema, the description covers the essential purpose and parameter effect. It lacks explicit usage guidance, but for a straightforward read tool, it is reasonably complete.

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 0%, so the description must explain the parameter. It does clarify that include_cases controls whether to include the cases and factors, which adds meaning beyond the bare boolean type. However, it does not elaborate on the default behavior or the exact structure of the returned data, so it only partially compensates for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the resource (load combinations) and indicates it optionally includes the constituent cases and factors, but does not explicitly state the action (e.g., list, retrieve). It distinguishes from etabs_load_cases by referencing combinations, but without naming alternatives or specifying the verb, it remains somewhat vague.

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?

There is no guidance on when to use this tool versus other ETABS tools like etabs_load_cases or etabs_load_patterns. The description does not provide context for selection or mention any exclusions.

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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