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seb-noirot

AKHQ MCP Server

by seb-noirot

post_topic_produce

Publish a message to a Kafka topic. Specify cluster, topic, and value, and optionally set key, headers, or target partition to control message routing.

Instructions

Produce a message to a topic

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoMessage key
valueYesMessage value
clusterYesCluster name
headersNoMessage headers
partitionNoTarget partition
topicNameYesTopic name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already communicate readOnly=false and idempotent=false, so the description need not repeat that this is a write operation. The description's 'produce a message' conveys the basic side-effect of publishing to a topic, but it does not disclose additional consequences such as required permissions, partition/offset behavior, or failure modes. With annotations lowering the bar, a 3 is fair.

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?

One short, front-loaded sentence with no filler. Every word earns its place and nothing is redundant with the schema.

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

Completeness3/5

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

For a simple produce call, required parameters are fully documented in the schema and the action is stated. However, the description is minimal: no output/response format, no prerequisite about the topic existing, and no pointer to related operations. Given no output schema, a bit more context would make it fully complete.

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 every parameter already has a clear description. The tool description adds no parameter-level meaning beyond the schema, which meets the baseline but does not exceed it.

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 specific action and resource ('produce a message to a topic') and the tool name clearly distinguishes it as the produce operation rather than topic creation. However, it does not explicitly contrast with sibling tool post_topic, so it lacks the sibling differentiation that would earn a 5.

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 given about when to use this tool versus alternatives. There is no mention that creating a topic is handled by post_topic, nor any note about prerequisites such as the topic already existing or needing a selected cluster. The agent is left to infer usage solely from the name.

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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