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Create dictionary term

create_dictionary_term

Create a project-scoped dictionary term: a word, its aliases, and its definition.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYesThe Dictionary word.
aliasesNoOther words that mean the same.
projectIdYesId of the Project.
requestIdNoOptional unique ID for this create. After a timeout, retry with the same requestId and arguments: the record already created is returned instead of a duplicate.
definitionYesThe approved meaning of the word, with no tables.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / definition / description
      Previous value: -"The approved meaning of the word."New value: +"The approved meaning of the word, with no tables."
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the useful scope qualifier 'project-scoped' but says nothing about duplicate-word behavior, conflict handling, or the idempotent-retry behavior (that detail is carried entirely by the schema's requestId).

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?

A single tight sentence with the verb and scope front-loaded and no filler. The trailing field list ('a word, its aliases, and its definition') largely restates the schema properties, which slightly dilutes the value of the sentence but costs little.

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 five-parameter create tool with full schema coverage, annotations, and no output schema, the definition is nearly sufficient. The remaining gap is behavioral: uniqueness/conflict semantics for the dictionary term are not stated anywhere an agent would look before calling.

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 description coverage is 100%, so word, aliases, definition, projectId and requestId are all documented in the schema itself. The description echoes three of the five field names without adding format, constraint, or interaction detail beyond what the schema already states, so the baseline 3 applies.

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?

Names a specific verb (Create), a specific resource (dictionary term), its scope (project-scoped), and the payload fields it carries (word, aliases, definition). An agent can tell it apart from update_dictionary_term, but the description does not distinguish it from the many other create_* siblings (create_rule, create_info), relying on the resource name alone to do that work.

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?

Usage is only implied: an agent infers it should call this when it needs a new project glossary term. There is no explicit when-to-use statement, no mention of the update_dictionary_term alternative, and no note about preconditions such as whether the word must be unique within the project.

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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