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. 'List all' implies a read-only operation, but it doesn't specify whether this includes completed/failed tasks, pagination, sorting, or permissions required. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and constraints.

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 a single, efficient sentence with no wasted words. It's front-loaded with the core action ('List all statistics-related tasks'), making it easy to parse quickly. Every word earns its place by conveying the essential purpose without redundancy.

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 tool's simplicity (0 parameters, no output schema), the description is minimally adequate. However, with no annotations and no output schema, it lacks details on return format (e.g., task IDs, statuses) and behavioral context (e.g., scope, limitations). For a list operation in a server with many sibling tools, more completeness would help distinguish it and set expectations.

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 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is applied since the schema fully covers the absence of parameters, and the description doesn't introduce unnecessary complexity.

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 'List all statistics-related tasks' clearly states the verb ('List') and resource ('statistics-related tasks'), providing a basic purpose. However, it doesn't differentiate from sibling tools like 'list_active_tasks', 'list_workflows', or 'get_statistics_task_progress', leaving ambiguity about what specifically constitutes 'statistics-related' tasks versus other task types.

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 offers no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., after starting a workflow), or comparisons to siblings like 'list_active_tasks' or 'get_statistics_task_progress', leaving the agent to infer usage from the name alone.

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