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Teradata MCP Server

Official
by Teradata

dba_userSqlList

Read-onlyIdempotent

Retrieves SQL statements executed by a specified user within a given number of days. Supports filtering by username and time range, with optional persistence as a volatile table.

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?

Annotations declare readOnlyHint and idempotentHint. The description adds further transparency by explaining the persist parameter's behavior (materializing a volatile table and returning its name). This provides useful context beyond the annotations.

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 very concise: two sentences for the main action and a short list of arguments. Every part is relevant and presents information efficiently.

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 persist behavior but does not specify the output format when persist is false (the default). Without an output schema, agents might not know the structure of the returned SQL list, leaving a gap in 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?

Input schema has 100% coverage with descriptions for all three parameters. The tool description repeats these descriptions verbatim, adding no new 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 clearly states it retrieves SQL run by a user over a period, with the ability to filter by user name or get all users. This is specific and distinct from the sibling tool dba_tableSqlList, which likely operates by table.

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 implicitly guides users to provide user_name or leave empty for all, and specifies the time window. However, it lacks explicit guidance on when to use this tool versus alternatives like dba_tableSqlList or base_readQuery.

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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