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Create Vocabulary

create_vocabulary

Creates a taxonomy vocabulary to categorize content in Drupal. Provide a machine name (vid) and human-readable name to define new vocabularies for structured tagging.

Instructions

Create a taxonomy vocabulary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vidYes
nameYes
langcodeNo
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Create' signals a mutation, but nothing is said about permissions required, whether an existing vid causes an error or update, or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One clean, front-loaded sentence with zero padding, but the brevity reflects under-specification rather than disciplined conciseness. It is well-formed yet carries too little for a 4-parameter mutation tool.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but with no annotations and 0% parameter coverage the definition leaves the agent without permissions, conflict-handling, or parameter semantics. For a creation tool this is materially incomplete.

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

Parameters1/5

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

Schema description coverage is 0% across 4 parameters, and the description adds no meaning for vid, name, langcode, or description. Notably it never mentions that vid is an immutable machine name distinct from the human-readable name, which is the key semantic an agent needs.

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 gives a specific verb ('Create') and resource ('a taxonomy vocabulary'), so the agent knows exactly what is produced. It does not distinguish the tool from nearby siblings such as create_term or migrate_taxonomy, but the core purpose is unambiguous.

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?

There is no guidance on when to use this versus create_term, migrate_taxonomy, or list_vocabularies, nor any note about prerequisites such as required fields. The agent must infer usage entirely from the name.

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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