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Glama
SorataYang

Qiao-MCP

by SorataYang

add_cable_length_load

Apply cable length adjustment loads to selected bridge elements by defining length error, tension type, and load case, ensuring accurate structural analysis.

Instructions

    Apply cable length adjustment load (索长误差荷载).

    Args:
        element_id: Element ID(s) (单元编号)
        case_name: Load case name (荷载工况名)
        length: Length difference (长度误差量)
        tension_type: Tension type (拉力类型)
        group_name: Load group name (荷载组名)
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lengthNo
case_nameYes
element_idYes
group_nameNo
tension_typeNo

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?

With all annotations set to false, the description carries the full burden of behavioral disclosure, but it only states the operation without explaining side effects, whether the load replaces or adds to existing loads, required prior setup, or units. An agent cannot infer the behavioral impact beyond the bare word 'Apply'.

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 is compact and front-loaded with the core action, followed by a brief argument list. It avoids unnecessary prose, though it could earn a 5 by including more semantic detail without bloat.

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 mutation tool with five parameters, no output schema, and no helpful annotations, the description is too thin. It omits prerequisites, units, default behavior for optional parameters, and expected effects, making it hard for an agent to call correctly in an unconstrained context.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it only restates parameter names with Chinese translations. It adds no extra meaning about units, valid ranges, the meaning of tension_type values, or how group_name interacts with the load case.

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 states a specific verb and resource: 'Apply cable length adjustment load', which clearly identifies what the tool does. The Chinese annotation '索长误差荷载' reinforces the meaning and distinguishes it from sibling load tools like add_initial_tension_load.

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?

The description gives no guidance on when to use this tool versus alternatives such as add_initial_tension_load, apply_prestress, or add_beam_section_temperature. No context about typical scenarios, prerequisites, or exclusions is provided.

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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