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Simple Lab Tools Label Maker

List label sheet templates

list_label_templates
Read-onlyIdempotent

List supported physical label templates, dimensions in inches, capacity, and placement geometry. Match the user's label stock before creating a sheet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds value by disclosing what each entry contains (dimensions in inches, capacity, placement geometry), but says nothing about ordering, completeness, pagination or error behavior for a list operation.

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?

Two sentences, no filler, and the payoff ('Match the user's label stock') is front-loaded after the content enumeration. Every clause earns its place by either describing the payload or prescribing the timing of the call.

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 zero-param read-only list tool with no output schema, the description supplies the shape of the returned records and the workflow trigger, which is close to sufficient. It stops short of stating whether the list is exhaustive or how templates are identified/keyed, which an agent picking a stock would benefit from knowing.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly does not invent parameter guidance for a parameterless tool.

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?

States a specific verb (List) and resource (physical label templates) and then enumerates the exact payload an agent gets back -- dimensions, capacity, placement geometry. The phrase 'before creating a sheet' implicitly separates it from the create_label_sheet sibling, so an agent can place it in the workflow without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear situational context: 'Match the user's label stock before creating a sheet,' which tells the agent this is a precondition/discovery step. It does not explicitly name create_label_sheet as the alternative or state any exclusion, so it stops short of the full when/when-not/alternatives bar.

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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