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teradata-gcfr-mcp-server

by Pibbers

gcfr_load_stats

Get staging load statistics—row counts, rejections, ET errors, UV violations—to monitor data loads and troubleshoot issues by date or control ID.

Instructions

Show staging load statistics — row counts, rejections, ET errors, UV violations.

Key columns: Ctl_Id, File_Id, Business_Date, Process_Name, Rows_Input, Rows_Considered, Rows_Not_Considered, Rows_Rejected, Rows_Inserted, Rows_ET, Rows_UV, Start_Ts, End_Ts, Load_Status. date_from and date_to default to yesterday and today respectively. Optionally filter by ctl_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctl_idNo
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?

With no annotations, the description carries the behavioral burden. It does disclose the exact columns returned, the default date range, and the optional ctl_id filter. It does not clarify potential limits, date format expectations, or how ET/UV terms are defined, leaving some behavioral ambiguity.

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 front-loaded with the purpose, followed by a compact list of relevant columns, then parameter default behavior and the optional filter. Every sentence contributes useful information without fluff or redundancy.

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?

Given the presence of an output schema and only three optional parameters, the description is largely complete, covering purpose, metrics, defaults, and filtering. The main gap is the missing date format specification for date_from and date_to, which would matter for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the parameter documentation, and it does. It explains that date_from and date_to default to yesterday and today respectively, and that ctl_id is an optional filter, adding meaning beyond the bare schema property names.

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 verb and resource ('Show staging load statistics') and enumerates the metrics included, so an agent can understand the core purpose. It does not explicitly differentiate itself from similar siblings like gcfr_load_status or gcfr_data_trend_loads, though the stated column set makes the intent reasonably distinct.

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 prefer this tool over the many similar siblings such as gcfr_load_status, gcfr_data_trend_loads, or gcfr_process_history. It mentions optional filters and defaults, but those are operational details rather than usage-selection guidance.

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