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SorataYang

Qiao-MCP

by SorataYang

add_parametric_reinforcement

Add parametric rebar configurations to concrete sections by specifying section end position, outer and inner reinforcement lists, and material details to model structural reinforcement accurately.

Instructions

    Add parametric reinforcement to a concrete section (添加参数化配筋).

    Args:
        section_id: Section ID (截面ID)
        position: Section end (截面位置): 0=I端 (start), 1=J端 (end)
        has_outer: Has outer reinforcement (是否有外部钢筋)
        has_inner: Has inner reinforcement (是否有内部钢筋)
        outer_rebar_info: Outer rebar list (外部钢筋信息):
                          [[diameter, material_id, cover, spacing_or_count, bars_per_bundle], ...]
                          [[直径mm, 材料号, 层边距m, 间距m/数量, 每束根数], ...]
        inner_rebar_info: Inner rebar list (内部钢筋信息), same format as outer
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
positionNo
has_innerNo
has_outerNo
section_idYes
inner_rebar_infoNo
outer_rebar_infoNo

Schema Changelog

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

  1. First observedv0.3.1

TDQS

A3.6/5.0
Behavior2/5

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

The annotations are neutral (all false), so the description carries the burden of explaining side effects, but it only documents parameters and does not state whether existing reinforcement is overwritten, whether the operation is additive, or what errors can occur. No contradiction with annotations exists, but behavioral disclosure is minimal.

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 opens with a clear one-line purpose and then presents a structured Args section. The bilingual annotations add length but are purposeful and aid comprehension; there is minimal 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?

For a 6-parameter tool with complex nested array inputs and no output schema, the description covers the parameter format well and explains the outer/inner rebar structure. However, it omits relationships between has_outer/has_inner and the corresponding info arrays, and does not mention prerequisites like whether the section must already exist. Overall, the essential calling information is present.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by naming each parameter, defining position mapping (0=I端/start, 1=J端/end), and specifying the exact nested list format for rebar info including units (mm, m). This adds substantial meaning beyond the bare schema types.

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 the action ('Add parametric reinforcement') and the target ('to a concrete section'), making the tool's function immediately identifiable. It is distinct from sibling section-related tools such as create_section, update_section_property, and remove_section.

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 explicit guidance on when to use this tool versus alternatives, nor any prerequisites such as the section needing to already exist. The only usage signal is implied by the action itself, so the agent receives no routing or precondition help.

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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