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Glama

engineering

eurocode_column_checker

Eurocode axial column buckling check (steel EC3 6.3.1 flexural buckling / RC EC2 5.8 simplified). Returns Ncr, non-dimensional slenderness, reduction factor chi, NRd and utilisation. Indicative, not a stamped design.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoSteel section key, e.g. UC203x203x46 (steel only)
depth_mmNoRC column depth h (mm), concrete only
materialYesSection material
width_mmNoRC column width b (mm), concrete only
axial_load_knYesDesign axial load NEd (kN)
buckling_curveNoEC3 buckling curve (steel only)
eccentricity_mmNoLoad eccentricity (mm), optional
reinforcement_pctNoRC reinforcement ratio % (concrete only)
effective_length_mYesEffective (buckling) length Lcr (m)

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It names the computed outputs and adds the important limitation 'Indicative, not a stamped design,' signaling that results are advisory rather than certifying. It does not detail assumptions or defaults, but the key behavioral caveat is present.

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 compact and well structured: two sentences, no filler, with the tool's purpose, scope, outputs, and limitation all clearly stated. The most decision-relevant information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description usefully names all key outputs despite the absence of an output schema. However, for a 9-parameter tool with material-specific branches and no annotations, it omits branch-specific prerequisites and conditional parameter relationships, leaving an agent potentially able to call the tool with only the three required fields and receive an error or invalid result.

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 100%, so the baseline is 3 and the schema already documents every parameter. The description adds the steel/RC branch context but does not explain branch-specific dependencies, such as requiring a steel section and buckling curve for steel or depth/width/reinforcement for concrete.

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 opens with 'Eurocode axial column buckling check' and explicitly names both relevant codes (steel EC3 6.3.1 and RC EC2 5.8), making the resource and action unambiguous. It also lists concrete return values, and the axial column focus clearly distinguishes it from sibling tools such as eurocode_beam_designer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for what the tool covers—axial column buckling for steel or RC under Eurocode—but it does not state when to prefer this tool over alternatives or when not to use it. The sibling eurocode_beam_designer exists, but no explicit routing or exclusion guidance 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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TDQS

B3.1/5.0
Disambiguation3/5

Many tools have distinct domains (structural, carbon, compliance, heat pumps), but several overlap at a surface level: calculate_carbon, building_carbon_footprint, and uae_climate_ghg all deal with carbon; estimate_cooling_load and thermal_load both compute cooling loads; and multiple UK/UAE compliance checkers have similar 'readiness/checker/precheck' names. Descriptions help differentiate, but an agent could still select the wrong tool without careful reading.

Naming Consistency2/5

Naming is a mix of verb-led patterns (assess_epbd_score, calculate_carbon, check_uae_bim_compliance, estimate_cooling_load, get_technical_dd_quote) and noun-led phrases (building_carbon_footprint, building_readiness, digital_renovation_passport, roi_calculator, thermal_load). Sub-groups like check_* and eurocode_* are consistent internally, but the overall set has no unifying convention, which adds cognitive load.

Tool Count2/5

With 27 tools, the server exceeds the 'heavy' range, even though the engineering domain is broad. Many tools are highly specialized (e.g., part_s_ev, mees_checker, dgnb_bim_readiness), and the large count risks overwhelming an agent trying to pick the right one. The scope may justify the number, but it edges into too-many territory.

Completeness3/5

The server covers a wide range of building and sustainability assessments: carbon, energy, compliance (EU/UK/UAE), structural design, cost benchmarking, and data centres. However, there are gaps in adjacent areas common to building engineering—such as acoustic design, water/sanitation, electrical systems, or thermal bridging—which would be expected from a general 'engineering' server. It is reasonably complete for its apparent sustainability/regulatory focus, but not universally.

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