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teradata-gcfr-mcp-server

by Pibbers

gcfr_data_trend_transforms

Track daily transform volume trends by business date to monitor data pipeline activity. Specify a date range; defaults to yesterday and today.

Instructions

Show daily transform volume trends by business date.

date_from and date_to default to yesterday and today respectively.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the burden. It discloses that this is a read-style trend query and that omitted dates fall back to yesterday/today. However, it does not explain date format, inclusivity, limits, or whether 'volume' means row counts, transactions, or bytes.

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 sentences with no filler. The purpose is front-loaded, and the second sentence provides necessary default-parameter behavior that the schema does not convey.

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?

For a tool with two optional parameters and an output schema, the description covers the core purpose and default behavior. It is incomplete in clarifying the date string format and the exact meaning of 'transform volume,' and it does not help disambiguate from the closely related transform stats siblings.

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 0%, and the schema only shows nullable string parameters with null defaults. The description adds meaningful semantic information by stating that date_from and date_to default to yesterday and today respectively, but it does not specify the accepted date format or behavior when only one date is supplied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Show') and resource ('daily transform volume trends') with a clear dimension ('by business date'). It is distinguishable from siblings like gcfr_load_status and gcfr_transform_stats, though it does not explicitly differentiate itself by name.

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

Usage Guidelines3/5

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

The description implies when to use the tool: when daily transform volume trends are needed. It provides useful default-date context, but it does not explicitly say when not to use it or mention an alternative sibling tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.