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Teradata

Teradata MCP Server

Official
by Teradata

base_tableDDL

Read-onlyIdempotent

Generates the CREATE TABLE DDL statement for a Teradata table, including column types, constraints, primary indexes, and keys. Use to view or replicate table schema.

Instructions

Return the CREATE TABLE DDL statement for a Teradata table, showing its full schema definition including column types, constraints, primary indexes, and keys. Use when the user wants the CREATE statement, the table definition, or needs to see how the table was built. If the user has not specified both a table name AND a database name, ask for clarification before calling — do not guess or use an empty database name. To save DDL to a file on disk, use base_saveDDL instead. For just column names and types, use base_columnDescription instead.

Arguments: table_name - Table name database_name - Database name persist - If True, materializes result as a volatile table and returns table name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persistNoIf True, materializes result as a volatile table and returns table name
table_nameYesTable name
database_nameYesDatabase name
Behavior4/5

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

Annotations already indicate readOnly and idempotent. Description adds context about not guessing empty database name and explains the persist parameter. No contradictions.

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?

Purpose is front-loaded and clearly stated. Subsequent sentences provide necessary usage guidance and alternatives. Slightly wordy but efficient overall.

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?

Given the tool's simplicity (no output schema), the description covers purpose, usage, required parameters, and alternatives. The persist behavior is explained. Minimal gaps.

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 descriptive parameter names and descriptions. The description repeats the same information, adding no new meaning 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 clearly states it returns the CREATE TABLE DDL for a Teradata table, listing specific content (column types, constraints, indexes, keys). It distinguishes from siblings like base_saveDDL and base_columnDescription.

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?

Provides explicit when-to-use guidance (user wants CREATE statement, table definition, or how table was built). Includes caveat to ask for clarification if parameters missing, and directs to alternative tools for saving DDL or column descriptions.

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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