db_get_kafka_topic

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

With no annotations provided, the description carries the full burden of disclosing behavior. It implies a read-only operation but never explicitly states that it is non-mutating, nor does it mention any potential side effects, authentication requirements, or error conditions. For a get operation lacking annotation coverage, this is a significant omission.

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

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

The description is concise and well-structured with an Args/Returns format, containing no extraneous information. Every sentence contributes to explaining the tool's basic operation and parameters.

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

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

Although an output schema exists (reducing the need to explain return types), the description fails to provide usage guidance or behavioral transparency, both critical for a tool with no annotations. It gives a minimal overview but leaves an agent without enough context to decide when to call it or what to expect behaviorally beyond a simple 'get'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds some meaning beyond the schema by clarifying that database_id accepts 'the Kafka database ID or label' and that topic_name is 'the topic name'. However, it does not specify data formats, constraints, or how to construct the ID/label, leaving room for ambiguity with a 0% schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Get information about') and a specific resource ('a Kafka topic'), making it distinct from siblings like db_list_kafka_topics (which lists all topics) and db_create_kafka_topic. The purpose is unambiguous and immediately differentiates it from neighboring tools.

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

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

No guidance is provided on when to use this tool versus alternatives. For instance, it does not mention that db_list_kafka_topics should be used to retrieve all topics, nor does it provide any context about prerequisites or typical scenarios. An agent must infer its usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.