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kinjal-1007

kafka-mcp

by kinjal-1007

create_topic

Create a new Kafka topic with configurable partition count and replication factor to enable message production and consumption on an Apache Kafka cluster.

Instructions

Create a new Kafka topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
num_partitionsNo
replication_factorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden of behavioral disclosure. It does not state whether creating an existing topic errors, whether configuration defaults to broker settings, whether partitions/replication are auto-created, or any idempotency characteristics. Minimal behavioral info for a mutating operation.

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

Conciseness3/5

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

Single sentence, efficient, no waste. But it is under-specified — brevity is appropriate yet could include non-redundant context like default behavior in the same compact structure.

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 an output schema, the description is incomplete for a mutating operation with no annotations. It doesn't cover error cases (duplicate topic), broker requirements, or the significance of the replication_factor default. For a CRUD create operation, more behavioral context is expected.

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 0%, but the parameter names (topic, num_partitions, replication_factor) are self-explanatory with sensible defaults (1 partition, replication factor 3). The description adds nothing beyond schema, so it doesn't compensate for the 0% coverage, but the parameter semantics are inherently clear from naming and defaults.

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?

Description states 'Create a new Kafka topic' — verb+resource are clear. However, it provides no differentiation from siblings like describe_topic or list_topics. The purpose is functional but minimal, lacking any context about the create operation's role in the topic lifecycle.

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 on when to use this tool vs alternatives or prerequisites (e.g., broker availability, whether topic must not already exist). Siblings like produce_message/consume_messages imply different phases but no explicit guidance is given.

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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