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bbruhn91

Aedifion MCP Server

by bbruhn91

get_component_attribute_definitions

Retrieve all attribute definitions for a specific component type in the Aedifion building performance platform to understand available data points and properties.

Instructions

Get all attribute definitions for a component type.

Args: component_id: The component definition ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
component_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It implies a read-only operation ('Get'), but doesn't disclose behavioral traits such as authentication needs, rate limits, error handling, or what 'attribute definitions' entail (e.g., format, scope). This is inadequate for a tool with no annotation coverage.

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 appropriately sized and front-loaded with the main purpose in the first sentence. The Args section is structured but could be more integrated. There's no wasted text, though it could be slightly more informative without losing conciseness.

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?

Given 1 parameter with 0% schema coverage and an output schema exists, the description is minimally adequate. It explains the tool's purpose and parameter role but lacks behavioral context and usage guidance. With output schema handling return values, the description doesn't need to cover outputs, but overall completeness is limited.

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 0%, so the schema provides no parameter descriptions. The description adds minimal semantics by explaining 'component_id' as 'The component definition ID', which clarifies the parameter's role but lacks details like format constraints or examples. This partially compensates but leaves gaps.

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?

The description clearly states the action ('Get all attribute definitions') and resource ('for a component type'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_component_attributes' or 'get_component_pin_definitions', which appear related but have different scopes.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_component_attributes' or 'get_component_pin_definitions'. The description only states what it does without context or prerequisites, leaving the agent to infer usage.

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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