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Teradata

Teradata MCP Server

Official
by Teradata

Dba Systemspace

dba_systemSpace
Read-onlyIdempotent

Check total disk space usage across the entire Teradata system, aggregated over all databases. Ideal for warehouse-wide storage and overall capacity queries.

Instructions

Show total disk space usage across the entire Teradata system, aggregated over all databases. Use when the user asks about warehouse-wide storage, total system capacity, or overall disk consumption across all databases. For a single named database, use dba_databaseSpace. For table-level details within a database, use dba_tableSpace.

Arguments: 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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.2.1
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / persist
      Added value: +{
      +  "default": false,
      +  "description": "If True, materializes result as a volatile table and returns table name",
      +  "type": "boolean"
      +}
  2. Addedv1.0.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, covering safety. The description adds useful behavioral context beyond that: the persist parameter 'materializes result as a volatile table and returns table name', which is a concrete side effect not implied by the annotations. It does not elaborate on volatile table lifetime, but that is a minor gap.

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 front-loaded with the core purpose, then gives usage conditions, sibling alternatives, and the parameter explanation. Every sentence earns its place; there is no fluff or repetition.

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 simple read-only aggregate tool with one optional parameter, the description is nearly complete. It covers scope, when to use, alternatives, and the persist behavior. With no output schema, it could arguably state the return format when persist=false, but that is reasonably implied by 'Show total disk space usage.' Minor gap only.

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 the baseline is 3. The description's persist line repeats the schema description almost verbatim, adding no additional semantic value beyond what the schema already provides.

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 states 'Show total disk space usage across the entire Teradata system, aggregated over all databases' — a specific verb, resource, and scope. It also explicitly differentiates from siblings by naming dba_databaseSpace for single-database queries and dba_tableSpace for table-level details.

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 provides explicit when-to-use guidance: 'Use when the user asks about warehouse-wide storage, total system capacity, or overall disk consumption across all databases.' It also names the exact alternatives and the conditions that route to them, leaving nothing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.