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mcp-server-kafka

mcp-server-kafka

by atengk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

kafka_list_connections

List configured Kafka cluster connections with broker bootstrap addresses and read-only status to verify available clusters before use.

Instructions

枚举当前服务端已配置的所有 Kafka 集群命名连接清单、Broker 引导地址与只读保护状态

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "kafka_list_connections"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.3.1

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. 'Enumerate' implies a safe read operation and it names some returned information, but it does not explicitly state the read-only nature, authentication requirements, pagination, or side effects.

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?

A single front-loaded sentence that names the operation, scope, and returned details without filler. Every element contributes to identifying the tool.

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 list tool with an output schema, the description is largely sufficient: it identifies the resource and indicates the kind of connection metadata returned. It is slightly incomplete on usage routing and explicit read-only assurance, but the output schema covers return structure.

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 has zero input parameters, so the schema has nothing to document; the baseline for 0 params is 4. The description does not need to add parameter meaning beyond that.

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?

States a specific verb (enumerate/list) and resource (named Kafka cluster connections configured on the current server), and specifies returned details (broker bootstrap addresses and read-only protection status). This is clearly distinct from sibling tools that list topics, groups, messages, or manipulate topics.

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 instead of siblings such as kafka_cluster_info or kafka_list_topics. The purpose implies a read/list scenario, but no conditions, prerequisites, or exclusions are provided.

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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