MCP Kafka Schema Reg

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 states the tool retrieves schema information, implying a read-only operation, but doesn't specify whether it requires authentication, has rate limits, returns errors for invalid IDs, or handles the optional 'registry' parameter's behavior in single-registry mode. This leaves significant behavioral gaps for a tool with no annotation coverage.

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

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

The description is well-structured and front-loaded: the first sentence states the core purpose, followed by clear 'Args' and 'Returns' sections. Each sentence adds value—none are redundant or verbose. It efficiently covers key points without unnecessary elaboration, making it easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is moderately complete. It explains the tool's purpose and parameters but lacks details on behavioral aspects (e.g., error handling, authentication) and return values (only mentions 'Schema information including content, type, and metadata' without specifics). For a read operation with 2 parameters, this is adequate but leaves room for improvement in contextual richness.

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

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

The schema description coverage is 0%, so the description must compensate. It adds meaningful context: 'schema_id' is a 'globally unique ID' (clarifying its scope beyond the schema), and 'registry' is 'optional' and 'ignored in single-registry mode' (explaining its conditional relevance). This goes beyond the schema's basic types and titles, providing practical usage insights, though it doesn't detail format constraints (e.g., integer ranges).

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

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 schema by its globally unique ID.' This specifies the verb ('Get') and resource ('schema'), and distinguishes it from sibling tools like 'get_schema' (which likely uses different identifiers) and 'get_schema_versions' (which retrieves multiple versions). However, it doesn't explicitly differentiate from 'export_schema' or 'migrate_schema', which slightly limits clarity.

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

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 doesn't mention when to prefer 'get_schema_by_id' over 'get_schema' (which might use a different identifier) or 'export_schema' (which might output the schema differently). There's also no mention of prerequisites, such as needing the schema ID from another operation, leaving usage context unclear.

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