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engineering

check_nis2_readiness

Assess NIS2 Directive (EU 2022/2555) compliance readiness. Returns compliance score (0-18), maturity level, estimated fine exposure, and prioritised remediation actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectorYese.g. energy, transport, healthcare, banking
has_cisoYes
has_ir_planYes
has_ot_policyYes
has_24h_reportingYes
has_ot_monitoringYes
organisation_sizeYes
has_asset_inventoryYes
has_board_reportingYes
has_supplier_assessmentYes
has_network_segmentationYes

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

There are no annotations, so the description must carry the behavioral transparency burden. It does disclose the kind of output (score, maturity, fine exposure, remediation actions) and the score range, but it does not state whether the assessment is read-only, whether results are computed locally, or whether there are any side effects or prerequisites. This is a moderate gap for an assessment tool.

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 one focused sentence with no filler. It front-loads the purpose and immediately provides the most important output details, making it easy to scan and understand.

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?

Given 11 required parameters, 9% schema coverage, no annotations, and no output schema, the description is too thin. It explains what the tool returns but gives no guidance on parameter semantics, particularly for sector and organisation_size, and no indication of when to choose this tool over the many related readiness/checking siblings. An agent would need additional knowledge to call it correctly and confidently.

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 only 9%, with 10 of 11 parameters being undocumented booleans. The description does not compensate for this at all; it only describes outputs, not inputs. Although parameter names like has_ciso are self-explanatory, key parameters such as organisation_size enum values ('essential', 'important', 'other') and sector are not explained, forcing the agent to guess their meaning in NIS2 context.

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?

Description states a specific verb ('Assess') and a specific resource ('NIS2 Directive (EU 2022/2555) compliance readiness'), which clearly distinguishes it from sibling tools like check_uae_cybersecurity or mees_checker. It also mentions concrete outputs (score range, maturity level, fine exposure, remediation actions), making the tool's purpose unambiguous.

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 NIS2 Directive reference implies the tool should be used for EU NIS2 compliance assessments, but there is no explicit statement about when to use it versus alternatives, nor any exclusion criteria. The usage context is inferable but not directly stated.

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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