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seb-noirot

AKHQ MCP Server

by seb-noirot

post_topic_configs

Update Apache Kafka topic configurations by specifying the cluster, topic name, and config entries. Adjust retention, cleanup policies, and other settings to match operational requirements.

Instructions

Update configuration for a topic

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clusterYesCluster name
configsYesConfiguration entries
topicNameYesTopic name

Schema Changelog

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

  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?

Annotations already mark this as a write operation with readOnlyHint=false, so the description adds no behavioral detail beyond that. It does not disclose whether the config update replaces all settings or merges only the provided ones, what permissions are needed, or what errors might occur.

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 description is a single sentence that front-loads the action and resource, and it contains no filler. It is appropriately concise for a simple statement of purpose, though it does not carry the behavioral depth needed for a mutating operation.

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 mutating tool with no output schema, this description is incomplete. It does not explain update semantics such as overwrite vs. merge, does not mention prerequisites like the topic already existing, and does not describe expected return behavior. The schema covers parameter shapes but not the operational context an agent needs.

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%, with each parameter already described as 'Cluster name', 'Configuration entries', and 'Topic name'. The description contributes no additional parameter-level meaning, so the high-coverage baseline of 3 applies.

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 and resource: 'Update configuration for a topic,' which identifies this as a mutation of topic-level settings rather than a read operation or topic creation. It does not explicitly contrast with siblings like get_topic_configs or post_topic, so it falls short of maximum differentiation.

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?

The description offers no guidance on when to use this tool versus alternatives such as post_topic, get_topic_configs, or post_node_configs. An agent must infer the intended use case purely from the tool name and schema.

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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