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Teradata

Teradata MCP Server

Official
by Teradata

dba_tableSpace

Retrieve table space usage across databases and tables. Filter by database, table name, limit to top N, exclude system tables, or persist results as a volatile table.

Instructions

Get table space used across all tables, or filtered by database and/or table name.

Arguments: database_name - Database name filter. Leave empty for all databases. table_name - Table name filter. Leave empty for all tables. top_n - Limit results to top N largest tables by space. Set to 0 for no limit (default: 0). exclude_system - Exclude system databases and tables. Set to 'Y' to exclude, 'N' to include all (default: 'N'). 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 filter. Leave empty for all databases.
table_nameNoTable name filter. Leave empty for all tables.
top_nNoLimit results to top N largest tables by space. Set to 0 for no limit (default: 0).
exclude_systemNoExclude system databases and tables. Set to 'Y' to exclude, 'N' to include all (default: 'N').N
Behavior3/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It transparently describes the effects of the persist parameter (materializing a volatile table), but does not mention authentication, rate limits, or whether the operation is read-only.

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?

The description is well-structured with a clear opening sentence followed by a bulleted list of parameters. It is concise but includes necessary detail, though some redundancy exists with the schema descriptions.

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?

The description does not specify the output format or structure when persist is False (the default). Since there is no output schema, the agent needs to know what the tool returns (e.g., a table of data, rows). This lack of information reduces completeness.

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?

The input schema covers all five parameters with descriptions, and the tool description largely mirrors these descriptions. With 100% schema coverage, the description adds minimal extra meaning beyond the schema, earning a baseline score of 3.

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 retrieves table space usage across all tables with optional filters by database and table name. It distinguishes itself from sibling tools like dba_systemSpace and dba_databaseSpace by focusing on table-level space.

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 does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention when not to use it. However, the parameter details imply typical use cases (e.g., filtering, limiting results).

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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