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Teradata

Teradata MCP Server

Official
by Teradata

base_tableList

Retrieve a list of all tables and views in a specified database. Optionally materialize results as a volatile table for further use.

Instructions

Lists all tables and views in a database.

Arguments: database_name - Database name. Leave empty for all databases. 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
database_nameNoDatabase name. Leave empty for all databases.
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the persist parameter materializes a volatile table (a side effect), which is a key behavioral trait. However, it does not mention permissions, limits, or session scope.

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?

The description is short (two sentences plus argument list), front-loaded with purpose, and has no unnecessary words. Every sentence earns its place.

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

Completeness3/5

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

The description explains the parameters and the persist behavior, but it does not specify the return format (e.g., list of names or objects) or any ordering/pagination. This leaves some ambiguity for agents.

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% with both parameters already described. The description repeats the schema wording exactly, adding no extra meaning. Baseline of 3 applies.

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 starts with a clear verb+resource: 'Lists all tables and views in a database.' It distinguishes from sibling tools like base_columnMetadata and base_readQuery by focusing on table/view listing.

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?

The description implies usage (when a list of tables/views is needed) but does not explicitly mention when not to use it or provide alternatives. No exclusions or context-specific 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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