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kafka_add_schemas

Set up Kafka Schema Registry by generating schema configuration files in your project directory, enabling schema management for Kafka topics.

Instructions

Generate Kafka schema registry setup (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing side effects. It does not state whether files are written to the directory, whether an existing Kafka schema registry is required, whether existing schemas are overwritten, or what happens on failure. The only behavioral disclosure is the Pro-license gating, which is insufficient for a mutation-style setup tool.

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 terse sentence with no filler, and the verb is front-loaded, so it earns credit for brevity. However, it is so thin that it borders on under-specification rather than disciplined conciseness — the parenthetical '(Pro feature)' interrupts the main clause and no detail follows. It is not structured to surface critical behavioral information because there is barely any information.

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 tool that generates a Kafka schema registry setup into a project directory, with two parameters and no output schema or annotations, the description omits essential context: what artifacts are produced, whether network/external registry access is needed, what api_key does, and what the return value is. A non-trivial 2-parameter setup tool needs more than one clause to be callable correctly.

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

Parameters2/5

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

Schema coverage is 50%: the schema documents 'directory' as 'Project directory' but leaves api_key entirely undescribed. The description contributes nothing about parameter semantics — it never explains what api_key is used for, whether it is required for the Pro feature, or how directory is consumed. With half the parameters undocumented in the schema, the description should compensate and does not.

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

Purpose3/5

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

The description uses a specific verb ('Generate') and resource ('Kafka schema registry setup'), which distinguishes it from sibling tools like kafka_generate_producer and kafka_generate_consumer. However, 'setup' is vague — it doesn't clarify whether schemas are registered, registry subjects/options are configured, or scaffolding is merely generated. The '(Pro feature)' parenthetical adds product context but not operational clarity.

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 gives no guidance on when to call this tool versus alternatives; it never names sibling tools or states conditions for selecting it. The only usage signal is '(Pro feature)', which hints at an entitlement gate but says nothing about when a producer/consumer setup would be more appropriate. An agent must infer the selection rationale from the tool name alone.

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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