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Teradata MCP Server

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by Teradata

dba_userDelay

Read-onlyIdempotent

Reports query queue wait times for Teradata users. Identify delays between queuing and execution to analyze workload management performance.

Instructions

Report how long Teradata users waited in the query queue before their queries began executing. Use when the user asks about user wait times, queue delays, or how long users had to wait. For system-level throttling and workload management flow control events, use dba_flowControl instead.

Arguments: start_date - The start date for the query range in YYYY-MM-DD format. end_date - The end date for the query range in YYYY-MM-DD format. 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
end_dateYesThe end date for the query range in YYYY-MM-DD format.
start_dateYesThe start date for the query range in YYYY-MM-DD format.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description adds value by describing the persist parameter's behavior (materializes as volatile table and returns table name). No contradiction.

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?

Two concise sentences plus parameter list. Front-loaded with purpose and usage. Every sentence is informative and no wasted words.

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?

Covers purpose, usage, parameters, and persist behavior. However, lacks explicit description of the return format (e.g., what the 'report' looks like). Still fairly complete for a read-only tool.

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 coverage is 100% with descriptions for start_date, end_date, and persist. The description restates these but does not add new meaning beyond the schema.

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 reports how long users waited in the query queue, using specific verb 'Report' and resource 'user wait times'. It distinguishes from sibling dba_flowControl by specifying different focus areas.

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?

Explicitly tells when to use this tool (user asks about user wait times, queue delays) and when not (system-level throttling should use dba_flowControl instead). Provides clear usage context.

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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