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Teradata

Teradata MCP Server

Official
by Teradata

dba_flowControl

Read-onlyIdempotent

Retrieve Teradata flow control metrics for a date range to monitor and analyze database performance.

Instructions

Get the Teradata flow control metrics for a specified date range.

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
start_dateYesThe start date for the query range in YYYY-MM-DD format.
end_dateYesThe end date for the query range in YYYY-MM-DD format.
persistNoIf True, materializes result as a volatile table and returns table name
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds context on the persist parameter, explaining that it materializes the result as a volatile table and returns the table name, which is 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 extremely concise, front-loading the main purpose and clearly listing arguments with their meanings. Every sentence is efficient with no superfluous text.

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?

While the main purpose is clear and annotations cover safety, the description lacks details on the return format when persist is False (default). It only mentions the table name return when persist=True, leaving the default output unspecified.

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 schema fully documents all three parameters. The description text merely restates the parameter descriptions, adding no new meaning.

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 verb 'Get' and the resource 'Teradata flow control metrics' with a specified date range, distinguishing it from sibling dba_* tools that retrieve other metrics.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no when-not-to-use information.

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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