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create_unit

Search units first, then create a new one. Tandoor has no duplicate detection, so unmindful creation leaves permanent duplicates.

Instructions

Create a new unit of measure. Search first. Tandoor has no duplicate detection, so a second 'Gramm' would sit next to the existing one forever with nothing to flag it. List the units first: the vocabulary is short and the one you want almost certainly exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesShort form, e.g. 'g' or 'EL'
descriptionNoOptional note
plural_nameNoPlural form, if it differs

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description discloses a key behavioral trait: no duplicate detection, so duplicate units persist silently. This adds significant context beyond the basic 'create' action, though it doesn't cover other potential behaviors like permissions or failure modes.

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?

Three concise sentences deliver purpose, usage guidance, and a concrete example. Every sentence adds value with no filler or repetition.

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

Completeness5/5

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

For a simple create tool with an output schema, the description covers purpose, usage guidelines, and a critical risk. The presence of an output schema means return values need not be described, making this complete.

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% for all parameters, so the baseline is 3. The description adds no additional parameter semantics beyond what the schema already specifies for name, description, and plural_name.

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 clearly states 'Create a new unit of measure' with a specific verb and resource, distinguishing it from sibling tools like search_units and other create_* tools.

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

Usage Guidelines5/5

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

It explicitly instructs to 'Search first' and 'List the units first', providing the alternative action and reasoning—'Tandoor has no duplicate detection'—which gives clear when-to-use 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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