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aywengo

MCP Kafka Schema Reg

get_schema

Retrieves a specific version of a schema from the Kafka Schema Registry. Use this tool to access schema data by specifying subject, version, and context, ensuring compatibility with existing workflows.

Instructions

Get a specific version of a schema.

NOTE: This tool is maintained for backward compatibility. Consider using the 'schema://{name}/{context}/{subject}' resource instead for better performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
registryNo
subjectYes
versionNolatest
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 behavioral disclosure. It mentions backward compatibility and performance considerations, which adds some context. However, it doesn't describe what the tool returns (e.g., schema content, metadata), error conditions, or other behavioral traits like rate limits or authentication needs, leaving significant gaps for a tool with 4 parameters and no output schema.

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

Conciseness5/5

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

The description is extremely concise and well-structured: two sentences that directly state the purpose and provide critical usage guidance. Every word earns its place, with no redundancy or fluff, making it easy to parse and understand quickly.

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 complexity (4 parameters, 0% schema coverage, no output schema, no annotations), the description is incomplete. It covers purpose and usage well but lacks details on parameters, return values, and behavioral aspects. For a tool that retrieves schema versions, more context on inputs and outputs is needed to be fully helpful.

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 description coverage is 0%, meaning none of the 4 parameters (context, registry, subject, version) have descriptions in the schema. The tool description doesn't explain what these parameters mean, their relationships, or how they affect the retrieval (e.g., what 'latest' version entails). This fails to compensate for the lack of schema documentation, resulting in poor parameter understanding.

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 tool's purpose: 'Get a specific version of a schema.' This is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'get_schema_by_id' or 'get_schema_versions', which appear to be related schema retrieval tools, so it doesn't reach the highest clarity level.

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

Usage Guidelines5/5

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

The description provides explicit usage guidance: it states the tool is 'maintained for backward compatibility' and recommends an alternative ('Consider using the 'schema://{name}/{context}/{subject}' resource instead for better performance'). This clearly indicates when to use this tool (for backward compatibility) and when to prefer an alternative, meeting the highest criteria.

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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