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manzoor-source

Teradata MCP Server

dba_resusageSummary

Read-onlyIdempotent

Report system-wide CPU, IO, and memory consumption broken down by time period, application, workload type, or complexity. Filter by user, date, or day of week to analyze trends.

Instructions

Report system-wide resource consumption (CPU, IO, memory) broken down by time period, application, workload type, or complexity class. Use when the user asks for system-level resource breakdowns, workload profiles, or consumption trends over a date range — not tied to a specific database. For per-database or per-user impact within a named database, use dba_tableUsageImpact instead.

Arguments: user_name - User name to filter by. Leave empty for all users. LogDate - Log date to filter by in YYYY-MM-DD format. Leave empty for all dates. dayOfWeek - Day of week to filter by (1=Sunday, 2=Monday, ..., 7=Saturday). Leave empty for all days. hourOfDay - Hour of day to filter by (0-23). Leave empty for all hours. workloadType - Workload type to filter by (e.g., 'Batch', 'Interactive'). Leave empty for all workload types. workloadComplexity - Workload complexity to filter by (e.g., 'Simple', 'Medium', 'Complex'). Leave empty for all complexity levels. AppID - Application ID to filter by. Leave empty for all applications. no_days - Number of days to look back from today (e.g., 7, 30, 90). persist - If True, materializes result as a volatile table and returns table name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
AppIDNoApplication ID to filter by. Leave empty for all applications.
LogDateNoLog date to filter by in YYYY-MM-DD format. Leave empty for all dates.
no_daysNoNumber of days to look back from today (e.g., 7, 30, 90).
persistNoIf True, materializes result as a volatile table and returns table name
dayOfWeekNoDay of week to filter by (1=Sunday, 2=Monday, ..., 7=Saturday). Leave empty for all days.
hourOfDayNoHour of day to filter by (0-23). Leave empty for all hours.
user_nameNoUser name to filter by. Leave empty for all users.
workloadTypeNoWorkload type to filter by (e.g., 'Batch', 'Interactive'). Leave empty for all workload types.
workloadComplexityNoWorkload complexity to filter by (e.g., 'Simple', 'Medium', 'Complex'). Leave empty for all complexity levels.
Behavior4/5

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

Annotations already mark readOnlyHint and idempotentHint true, and the description adds behavioral detail about the persist parameter materializing a volatile table. No contradictions.

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?

Purpose and usage guideline are front-loaded. The parameter list is verbose but necessary given 9 parameters. Could be slightly more concise.

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 system-level scope, filtering options, and persist behavior. No output schema, so a brief mention of return structure would be helpful but not essential.

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 description's parameter listing adds little new meaning beyond readability. Baseline 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 states a specific verb 'Report' and resource 'system-wide resource consumption (CPU, IO, memory)' and clearly distinguishes from sibling dba_tableUsageImpact by noting it is 'not tied to a specific database'.

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 says 'Use when the user asks for system-level resource breakdowns... not tied to a specific database. For per-database or per-user impact within a named database, use dba_tableUsageImpact instead.' This provides clear context and an alternative.

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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