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Generate rack and site layout

layout

Generate profile-aware rack blocks, rack-plan candidates, and site arrangement data for AI data centers from a nested design request.

Instructions

Generate profile-aware physical rack blocks, rack-plan candidates, and site layout data from a nested design request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
designYesNested design request that drives layout.
siteAreaSqmNoOptional layout-specific site area override.
siteCentroidNoOptional WGS84 site centroid.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.2
  2. Removed
  3. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing beyond purpose. It does not say whether generation is deterministic, read-only, whether it consumes significant compute, or how many candidates are produced. 'Profile-aware' is unexplained jargon.

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?

A single front-loaded sentence with no filler, stating the verb, the outputs, and the input source. It is efficient, though too sparse given the tool's complexity.

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?

For a complex generator with a deeply nested input schema and no output schema, the description enumerates the return artifacts but omits invocation context, ordering relative to 'design'/'validate', and any behavioral caveats. Adequate but thin relative to complexity.

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 schema already documents the nested design request and the optional overrides, establishing a baseline of 3. The description only nods to 'a nested design request' and adds no meaning beyond what the schema provides.

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?

Names a specific verb ('Generate') and concrete resources ('physical rack blocks, rack-plan candidates, and site layout data'), which is far better than a tautology. It is clear what the tool produces, though it does not explicitly contrast itself with the sibling 'design' tool that presumably produces the input request.

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 phrase 'from a nested design request' faintly implies this runs after a design exists, but there is no explicit when-to-use statement, no named alternatives among design/validate, and no prerequisites or ordering guidance.

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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