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. The description states it's a read operation ('Get'), which implies it's non-destructive, but it doesn't mention any behavioral traits like authentication requirements, rate limits, error conditions, or what the output looks like. The backward compatibility note adds some context, but overall, the description lacks sufficient behavioral details 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 appropriately sized and front-loaded: the first sentence states the core purpose, and the second sentence provides critical usage guidance. There's no wasted text, and both sentences earn their place by adding essential information, making it highly efficient.

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 the complexity (a read operation with 3 parameters, no annotations, and no output schema), the description is partially complete. It covers purpose and usage guidelines well but lacks details on parameters, behavior, and output. For a tool with no structured support, it should do more to explain what it returns or how to interpret results, but the backward compatibility note adds some value.

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%, meaning none of the 3 parameters (subject, context, registry) are documented in the schema. The description only mentions 'subject' implicitly ('for a specific subject') but doesn't explain what 'subject', 'context', or 'registry' mean, their formats, or how they interact. This leaves significant gaps in parameter understanding, failing to compensate for the low schema coverage.

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 configuration settings for a specific subject.' It uses a specific verb ('Get') and resource ('configuration settings for a specific subject'), making the function unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_global_config' or 'update_subject_config' beyond the backward compatibility note.

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 explicit usage guidance: 'NOTE: This tool is maintained for backward compatibility. Consider using the 'subject://{name}/{context}/{subject}/config' resource instead for better performance.' This clearly states when to use this tool (for backward compatibility) and when to use an alternative (the resource for better performance), which is comprehensive guidance.

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