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MCP Kafka Schema Reg

get_schema_versions

Retrieve all schema versions for a specified subject in Kafka Schema Registry to audit or manage schema evolution.

Instructions

Get all versions of a schema for a subject.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
subjectYes
registryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv2.2.2
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / context / title
      Removed value: -"Context"
    • removedInput schema / properties / registry / title
      Removed value: -"Registry"
    • removedInput schema / properties / subject / title
      Removed value: -"Subject"
  2. First observedv1.0.0

TDQS

B3.4/5.0
Behavior2/5

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

There are no annotations, so the description carries the full behavioral burden. It adds a maintenance/performance note but does not disclose return shape, error behavior, defaults for optional registry/context, or pagination/ordering, which an agent would need for a schema-versions listing.

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 core one-sentence definition is followed by a clearly separated, relevant note. Every sentence earns its place and the most important scope information is front-loaded.

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 with no annotations, no output schema, and no parameter documentation in the schema, this description is too thin. It fails to explain registry/context semantics or what the returned version list contains, so an agent cannot reliably construct a complete invocation beyond the required subject.

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%, so the description must compensate. It names 'subject' but gives no meaning for the optional 'context' and 'registry' parameters or their null defaults, leaving the agent to guess what values are valid.

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 states a clear action and resource: retrieving all versions of a schema for a subject. It is specific enough to separate this from sibling read tools like get_schema and get_schema_by_id, though it does not explicitly contrast against them.

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 note explicitly marks the tool as a backward-compatibility path and names a preferred alternative (schema://.../versions) with a reason (better performance). This gives an agent clear when-to-use/when-not-to-use guidance.

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