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create_kafka_table

Creates a table using the local-kafka connector to enable real-time data streaming from Kafka topics into SQL Stream Builder.

Instructions

Create a new table that only uses local-kafka connector.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
table_nameYes
format_typeNojson
bootstrap_serversNolocalhost:9092
scan_startup_modeNolatest-offset
kafka_connector_typeNolocal-kafka
additional_propertiesNo

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 must fully disclose behavioral traits. It only mentions the connector type constraint but does not discuss side effects, required permissions, or limitations (e.g., whether the table is created in a specific environment or if it triggers any background processes).

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?

The description is a single sentence that is front-loaded, but it is too brief. While it is concise, it sacrifices necessary detail. Every sentence should earn its place; this one does not provide enough value.

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?

Given the tool's complexity (7 parameters, output schema exists but not shown in description), the description is insufficient. It does not explain return values, error scenarios, or how the table relates to other entities. The description only covers one aspect (connector type).

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

Parameters1/5

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

The input schema has 7 parameters with 0% description coverage, meaning no parameter descriptions. The tool description does not add any meaning beyond parameter names and defaults. For example, it does not explain how 'scan_startup_mode' affects behavior or what 'additional_properties' accepts.

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 clearly states the verb (create) and resource (a table) and specifies that it only uses the local-kafka connector. However, it does not differentiate from sibling tools like 'register_kafka_table' or 'create_table_detailed', which may have similar purposes.

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, contexts where it is appropriate, or when to avoid it. Sibling tools such as 'register_kafka_table' exist but no differentiation is provided.

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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