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bbruhn91

Aedifion MCP Server

by bbruhn91

create_logbook

Create a new logbook in an Aedifion project to document building performance data, maintenance activities, or operational notes for IoT systems.

Instructions

Create a new logbook in a project.

Args: project_id: The project's numeric ID. name: Logbook name. description: Logbook description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
nameYes
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a creation operation but doesn't mention permissions required, whether it's idempotent, what happens on duplicate names, or what the output contains. For a mutation tool with zero annotation coverage, this is insufficient.

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 well-structured with a clear purpose statement followed by parameter explanations. It's appropriately sized with no redundant information. The only improvement would be integrating the parameter information more seamlessly rather than using a separate 'Args:' section.

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 that there's an output schema (which handles return values), no annotations, and the description covers parameter semantics well, this is adequate for a creation tool. However, it lacks important behavioral context like permissions, idempotency, or error conditions that would be helpful for an AI agent.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It provides clear semantic meaning for all three parameters ('project_id: The project's numeric ID', 'name: Logbook name', 'description: Logbook description'), which adds significant value beyond the bare schema. The only minor gap is not explaining that description is optional.

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 ('Create a new logbook') and resource ('in a project'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'create_logbook_entry' or 'get_logbooks', which would be needed for a perfect score.

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 description provides no guidance on when to use this tool versus alternatives. With siblings like 'create_logbook_entry' (for entries within logbooks) and 'get_logbooks' (for reading), there's clear potential for confusion that the description doesn't address.

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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