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maintenance-schedule

Add an asset to the register

asset_add

Add one piece of equipment to the maintenance register: its name, its serial or asset tag, where it lives, and the currency its costs are in. Returns the AST-YYYY-NNNN id. Free tier: 3 assets; logging work on the assets you have is never metered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoThe serial number or asset tag, e.g. SN-88-4412. Unique across the register: a second asset with the same tag is refused
nameYesWhat the asset is called, e.g. Lathe, Combi boiler, Van 2, or Studio camera A
notesNoAnything worth keeping with the asset, e.g. Model, warranty end, supplier
currencyNoISO code the costs are in. Default USD
locationNoWhere the asset lives, e.g. Workshop bay 2, or 14 Nowa Street, flat 3

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The annotations already mark this as a non-read-only mutation and non-destructive, and the description consistently describes a create. It adds useful behavior beyond the annotations: it returns the AST-YYYY-NNNN id and discloses the 3-asset free-tier limit. It does not contradict any annotation.

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 two sentences: the first states the action and payload, the second gives the return value and the quota/metering context. There is no filler and the core purpose is front-loaded.

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

Completeness4/5

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

For a simple create with no output schema, the description supplies the return id and the main limitation (free tier), while the schema fully documents parameters. It leaves quota-exceeded or duplicate-tag failure behavior unstated, but duplicate refusal is already in the schema and the tool is otherwise easy to invoke correctly.

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 coverage is 100%, with every parameter already described with types, examples, and constraints, so the description has little burden. The phrase 'its name, its serial or asset tag, where it lives, and the currency' maps cleanly to name, tag, location, and currency and adds a light high-level gloss, but it does not add details beyond the schema.

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 a concrete verb and resource ('Add one piece of equipment to the maintenance register') and enumerates the key recorded fields, so an agent can tell this is the create operation rather than asset_history or maintenance_log. The title reinforces the action, and the siblings are clearly different lifecycle/logging operations.

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?

There is no explicit when-to-use or when-not-to-use statement naming a sibling alternative. The context 'Free tier: 3 assets; logging work on the assets you have is never metered' implies that adding assets is metered and that logging work is a separate, unmetered action, but the agent must infer the routing to maintenance_log rather than being told.

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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