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Teradata

Teradata MCP Server

Official
by Teradata

qlty_rowsWithMissingValues

Read-onlyIdempotent

Identify rows with missing values in a specified column of a Teradata table. Optionally materialize results as a volatile table for further analysis.

Instructions

Get the rows that have missing values in a specific column of a table.

Arguments: database_name - Name of the database (optional, omit if table_name is fully qualified) table_name - Table name to analyze column_name - Column name to analyze for missing values persist - If True, materializes result as a volatile table and returns table name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYesTable name to analyze
column_nameYesColumn name to analyze for missing values
persistNoIf True, materializes result as a volatile table and returns table name
database_nameNoName of the database (optional, omit if table_name is fully qualified)
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint. The description adds valuable context beyond annotations by explaining the 'persist' parameter behavior (materializing as volatile table). However, it does not detail what happens when persist is False (presumably returns rows directly).

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 concise: a single purpose sentence followed by a clear list of arguments. It is front-loaded with the main action and structured efficiently, though it could be slightly more narrative.

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 tool has no output schema, so the description should clarify the return format. It only says 'Get the rows' but does not specify whether rows include all columns or only the missing value column. The persist behavior is explained, but overall completeness is adequate but not thorough.

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%, meaning the input schema already documents all parameters with descriptions. The description repeats these descriptions without adding new semantic meaning, so the baseline 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 retrieves rows with missing values for a specific column, using a specific verb 'Get' and resource. It distinguishes itself from siblings like 'qlty_missingValues' (which likely returns counts) and other qlty tools.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., qlty_missingValues for counts or qlty_columnSummary). The description only states what it does, leaving the agent to infer 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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