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Glama
SorataYang

Qiao-MCP

by SorataYang

add_beam_section_temperature

Apply beam section temperature loads to finite element models by specifying element IDs, load case, and temperature difference parameters for accurate thermal analysis.

Instructions

    Apply beam section temperature load (梁截面温度荷载).

    Args:
        element_id: Element ID(s) (单元编号)
        case_name: Load case name (荷载工况名)
        code_index: Code index (规范号)
        sec_type: Section type (截面类型, 如1为箱梁等)
        t1: Temperature difference param 1 (各部位温差参数1)
        t2: Temperature difference param 2 (各部位温差参数2)
        t3: Temperature difference param 3 (各部位温差参数3)
        t4: Temperature difference param 4 (各部位温差参数4)
        thick: Thickness parameter (厚度参数)
        group_name: Load group name (荷载组名)
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
t1No
t2No
t3No
t4No
thickNo
sec_typeNo
case_nameYes
code_indexNo
element_idYes
group_nameNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.3.1

TDQS

C2.9/5.0
Behavior2/5

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

Annotations indicate readOnly=false, so the agent can infer this is a mutating operation, but the description adds no further behavioral detail. It does not disclose whether applying this load overwrites existing beam section temperature loads, appends to them, or requires a specific model state.

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?

The description uses one purpose line followed by a compact argument list with no filler. It is appropriately sized for a 10-parameter tool, though the purpose line is not elaborated with examples or constraints.

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?

For a 10-parameter mutation tool with no output schema and no detailed annotations, the description omits key context: what code_index values are valid, what t1–t4 physically represent, whether the load case and group must already exist, and how this tool differs from sibling temperature-load tools. An agent would struggle to invoke it correctly without external domain knowledge.

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?

The input schema has 0% description coverage, and the description compensates by naming every parameter with a short English and Chinese gloss, e.g. 'sec_type: Section type (截面类型, 如1为箱梁等)'. However, several definitions are vague, such as 'Temperature difference param 1' and 'Thickness parameter', with no units, valid ranges, or relationship to section type.

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?

The opening sentence 'Apply beam section temperature load' states a specific verb and resource, and the bilingual title adds precision. It is not a tautology and is distinguishable from gradient/system temperature loads by the phrase 'beam section', though it does not explicitly contrast with sibling tools.

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?

No guidance is given on when to use this tool over siblings such as add_gradient_temperature, add_system_temperature, or add_custom_temperature. There are also no stated preconditions, such as whether the load case must already exist or how this load interacts with other temperature loads.

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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