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Alibaba Cloud RDS OpenAPI MCP Server

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by aliyun

describe_monitor_metrics

Read-only

Retrieve advanced performance and diagnostic metrics for an Alibaba Cloud RDS instance using DAS API, including IOPSUsage and MdlLockSession.

Instructions

Queries performance and diagnostic metrics for an instance using the DAS (Database Autonomy Service) API.
This method provides extra monitoring and diagnostic data which cannot be queried by describe_db_instance_performance, such as IOPSUsage, MdlLockSession, etc.

Args:
    dbinstance_id (str): The ID of the RDS instance.
    metrics_list (list[str]): The metrics to query. (e.g. ["IOBytesPS", "IOPSUsage", "MdlLockSession", "DiskUsage"])
    db_type (str): The type of the database. (e.g. "mysql")
    start_time(str): the start time. e.g. 2025-06-06 20:00:00
    end_time(str): the end time. e.g. 2025-06-06 20:10:00
Returns:
    the monitor metrics information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
db_typeYes
end_timeYes
start_timeYes
metrics_listYes
dbinstance_idYes
Behavior3/5

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

Annotations already indicate readOnlyHint=true, and the description adds that it uses the DAS API and provides extra diagnostic data. No contradictions, but no additional behavioral traits like rate limits or data freshness are mentioned.

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 well-structured with a clear first sentence followed by a parameter list with examples. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having 5 required parameters and no output schema, the description only returns a vague statement 'the monitor metrics information' without specifying structure, format, or possible values. This is insufficient for an agent to understand what the tool returns.

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

Parameters5/5

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

All 5 parameters are described with examples (e.g., date format for start_time, typical metrics for metrics_list, database type for db_type). Since schema description coverage is 0%, the description fully compensates by providing meaningful usage guidance.

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 it queries performance metrics using the DAS API and explicitly contrasts with sibling tool 'describe_db_instance_performance', listing specific metrics like IOPSUsage and MdlLockSession that this tool can retrieve.

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

Usage Guidelines4/5

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

The description explicitly mentions that this tool provides data not available from describe_db_instance_performance, giving clear context for when to use it. However, it does not provide explicit when-not-to-use or other alternative guidance.

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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