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BrooksIan

SSM MCP Server

by BrooksIan

get_connector_sink_metrics

Retrieve sink metrics for a specific Kafka Connect connector. Input the connector name to get performance data.

Instructions

Get connector sink metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connector_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, and the description does not disclose any behavioral traits such as whether the operation is read-only, required permissions, rate limits, or return characteristics. The agent gains no insight beyond the surface.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, but it is under-specified. Conciseness should not come at the expense of missing critical information; the description is too sparse to be useful.

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?

Given the tool's simple interface (one parameter) and the presence of an output schema, the description still fails to provide adequate context, such as the nature of the metrics or how this tool differs from other metric-fetching tools.

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

Parameters1/5

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

The input schema has zero description coverage for the only parameter 'connector_name', and the description does not mention or explain this parameter. Thus, the description adds no semantic value beyond the schema.

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

Purpose3/5

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

The description states 'Get connector sink metrics,' which specifies a verb and a resource. However, among many sibling metric tools (e.g., get_topic_metrics, get_consumer_group_metrics), it does not clarify what makes sink metrics distinct, leaving ambiguity.

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 guidance is provided on when to use this tool versus alternatives. No exclusions, prerequisites, or context for use are mentioned.

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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