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. While 'Get' implies a read-only operation, the description doesn't specify whether this requires authentication, what happens if the task_id is invalid, if there are rate limits, or what the response format looks like. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 extremely concise—a single sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core functionality and wastes no space on redundant information, making it easy to parse quickly.

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 of async task monitoring and the lack of both annotations and an output schema, the description is insufficient. It doesn't explain what 'status and progress' entails, what values might be returned, or how this differs from similar sibling tools. For a tool that likely returns structured data about task execution, more context is needed to use it effectively.

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 input schema has 0% description coverage, with only a single parameter 'task_id' documented structurally. The description doesn't add any semantic information about this parameter—it doesn't explain what a task_id is, where to obtain it, or its expected format. Since there's only one parameter, the baseline is 4, but the lack of any parameter guidance in the description reduces this to 3.

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 with a specific verb ('Get') and resource ('status and progress of an async task'), making it immediately understandable. However, it doesn't distinguish this tool from sibling tools like 'get_task_progress' or 'get_workflow_status', which appear to have similar functions, leaving some ambiguity about when to use this specific tool.

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. With sibling tools like 'get_task_progress', 'get_workflow_status', and 'list_active_tasks' available, there's no indication of whether this tool is for general async tasks, specific workflows, or other contexts. This lack of differentiation makes it difficult for an agent to choose correctly among similar options.

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