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Teradata MCP Server

Official
by Teradata

dba_userSqlList

Retrieve SQL queries executed by a specific user or all users within a specified number of days. Optionally materialize results as a volatile table for further analysis.

Instructions

Get SQL run by a user in the last number of days. Leave user_name empty for all users.

Arguments: user_name - User name filter. Leave empty or omit for all users. no_days - Number of days to look back 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
user_nameNoUser name filter. Leave empty or omit for all users.
no_daysNoNumber of days to look back
Behavior4/5

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

With no annotations, the description adequately explains the tool's behavior: fetching SQL queries, filtering by user and time range, and optional materialization via persist. However, it does not mention performance or side effects beyond creating a volatile table.

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 concise, front-loads the purpose, and organizes parameter details in a readable bullet list. Every sentence adds value without redundancy.

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 and lack of output schema or annotations, the description covers the essential inputs and behavior. It explains the persist option but does not describe the return format, which is acceptable as the schema implies a table name or list.

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?

Input schema coverage is 100%, and the description largely restates what the schema already provides. It adds no additional semantic detail beyond the parameter descriptions, so baseline score of 3 is appropriate.

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 the tool gets SQL run by a user within a given number of days, with the option to query all users. This distinguishes it from sibling 'dba_tableSqlList' which focuses on table-level SQL.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to leave user_name empty for all users, but does not explicitly mention when not to use this tool or suggest alternatives like dba_tableSqlList. The context is clear, but exclusions are absent.

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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