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navjeet4real

context-aware-mcp

by navjeet4real

kafka_consumer_groups

List Kafka consumer groups, inspect their offsets, and identify lag or group status issues to diagnose consumption problems.

Instructions

List consumer groups and their offsets. Check consumer lag and group status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoTopic to check consumer group offsets for (requires groupId)
groupIdNoSpecific consumer group ID to get details for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The verbs 'List' and 'Check' imply a read-only operation, but the description does not disclose the default no-argument behavior, the topic↔groupId dependency, or what the response contains. With no output schema and no annotations, this leaves key behaviors unstated.

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?

The two sentences are compact and front-loaded with the main verb 'List'. Each sentence earns its place by communicating distinct aspects (listing groups vs monitoring lag/status), though 'offsets' and 'lag' are overlapping concepts and the second sentence's relationship to the first is left implicit.

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?

For a tool with no annotations and no output schema, the description is thin: it doesn't state what an empty call returns, how topic and groupId interact (the dependency is only in the schema), or what the response contains. The moderate complexity of two interacting optional parameters warrants more context than this two-sentence description provides.

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 baseline is 3. The description's references to 'offsets', 'lag', and 'group status' add mild domain context about what topic and groupId will surface, but it offers no syntax, defaults, or relationship details beyond the schema. The schema already defines both parameters adequately.

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 clear verb+resource ('List consumer groups and their offsets') and is distinguishable from siblings like kafka_list_topics, kafka_describe_topic, and kafka_read_messages by targeting the consumer-group domain. However, the second sentence ('Check consumer lag and group status') introduces potentially separate operations without clarifying whether these are alternate call modes, blending list and monitor behaviors in one tool.

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?

There is no guidance on when to use this tool versus alternatives such as kafka_list_topics or kafka_read_messages. It also doesn't tell the agent when to supply topic, groupId, both, or neither, despite 0 required parameters; the schema's constraint that topic 'requires groupId' is never surfaced in the description.

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