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BhaumikAbhishek

OCI Kafka MCP Server

oci_kafka_update_topic_config

Update Kafka topic configuration settings by specifying key-value pairs for properties like retention.ms or cleanup.policy.

Instructions

Update configuration settings for a Kafka topic.

Requires --allow-writes to be enabled.

Args: topic_name: Name of the topic to update. configs: Dictionary of config key-value pairs to set (e.g., {"retention.ms": "604800000", "cleanup.policy": "compact"}).

Returns the update status and the configs that were changed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configsYes
topic_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that writes are required and states the return value, but does not cover edge cases, validation errors, or idempotency. Basic behavior is transparent but incomplete.

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 concise, using a clear sentence plus an Args block. It avoids redundancy and is well-structured for an AI agent to parse. Minor improvement possible by removing the word 'configuration' in the first sentence, but overall efficient.

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?

Given the tool's complexity (2 parameters, output schema exists), the description covers what it does, the required flag, parameter details with examples, and return values. No critical information is missing, and it remains complete.

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?

Schema description coverage is 0%, so the description must explain parameters. It defines topic_name and configs with an example dictionary, adding semantic meaning beyond the schema's type-only definition. This adequately compensates for the lack of schema descriptions.

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?

The description clearly states 'Update configuration settings for a Kafka topic,' specifying verb and resource. It is distinct from sibling tools like oci_kafka_create_topic or oci_kafka_update_cluster_config, which handle different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions a prerequisite ('Requires --allow-writes to be enabled') but does not provide explicit guidance on when to use this tool versus other topic tools (e.g., create or describe). The guidance is implied but not thorough.

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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