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aywengo

MCP Kafka Schema Reg

create_context

Create a new schema context in Kafka Schema Registry to organize schemas. Specify the context name and optional registry.

Instructions

Create a new schema context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYes
registryNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 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"
  2. First observedv1.0.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only implies a side effect by saying 'create'; it does not disclose whether the operation is idempotent, what happens on duplicate context names, how the optional registry affects behavior, or what the response looks like.

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 concise and free of filler, but it is a single under-specified sentence with no structural breakdown of the operation or its parameters. It earns its place as a high-level statement but provides no additional structure.

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 absence of annotations, output schema, and parameter descriptions, a six-word description is not enough for an agent to invoke the tool correctly. The meaning of 'schema context', the expected format of the context string, and the role of the optional registry are all left unexplained.

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?

Schema description coverage is 0%, so the description must compensate, but it adds nothing about the required 'context' string or the optional 'registry' parameter. An agent receives no guidance on what values to supply, making the parameters effectively opaque beyond their type and default.

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 names a specific action ('Create') and a specific resource ('a new schema context'), so the core purpose is clear. It does not, however, explain what a schema context is or how this creation tool differs from the many registry/schema sibling tools, so it stops short of full differentiation.

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 indication of when to use this tool versus alternatives like register_schema or list_contexts, and it states no preconditions or typical scenarios. An agent must infer from the name alone when this tool is the right choice.

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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