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get_db_time_model

Retrieve Oracle database time model metrics from V$SYS_TIME_MODEL, including DB CPU, DB time, parse time, and hard parse elapsed, to analyze where database time is spent.

Instructions

Return the database time model from V$SYS_TIME_MODEL: DB CPU, DB time, parse time elapsed, hard parse elapsed, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.16.3

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 full behavioral burden. It does disclose the underlying source (V$SYS_TIME_MODEL), which implies a read-only dynamic performance view and cumulative-since-startup semantics, but it omits privileges required for V$ access, whether values are cumulative or delta, and the unit/format of the returned numbers.

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?

One front-loaded sentence with no filler; the source view and representative metrics are packed in efficiently. The trailing 'etc.' is the only mild weakness but does not bloat the definition.

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?

For a zero-parameter read tool with no output schema, the description names the source view and sample fields, which gives the agent enough to know what comes back. It stops short of clarifying cumulative semantics, units, or row shape, which would fully close the gap left by the absent output schema.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate. The schema is trivially complete and the description adds no misleading parameter claims.

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?

States a specific verb ('Return') and resource ('database time model') and names the exact source view (V$SYS_TIME_MODEL) plus example contents (DB CPU, DB time, parse time). An agent can distinguish it from other stats tools like get_system_stats or get_instance_info, though the description never says how it differs from those siblings.

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 when-to-use guidance and no alternatives named. It does not tell the agent whether this is the right tool versus get_system_stats, get_instance_info, or get_database_info, nor any prerequisites, leaving selection entirely to inference.

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