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. It states what the tool does (testing endpoints) and what it returns (dictionary with results), but lacks details on behavioral traits such as whether it makes network calls, potential side effects, error handling, or performance characteristics. For a testing tool with no annotations, this is insufficient disclosure.

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: it starts with the purpose, lists what's validated, then provides parameter and return details. Every sentence adds value without redundancy, making it efficient and 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, no output schema, and a single parameter with 0% schema coverage, the description provides basic purpose and parameter info but lacks details on return structure (beyond 'dictionary'), error cases, or testing methodology. It's minimally adequate for a simple testing tool but could be more complete.

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?

With 0% schema description coverage for the single parameter, the description compensates by explaining 'server_url: Base URL of the MCP server (default: http://localhost:8000)'. This adds meaning beyond the schema, clarifying the parameter's purpose and default value. However, it doesn't detail format constraints or validation rules.

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: 'Test OAuth discovery endpoints to ensure proper MCP client compatibility.' It specifies the exact endpoints being validated and distinguishes this tool from siblings by focusing on OAuth discovery testing rather than general compatibility checks or other operations.

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 implies usage context: testing OAuth discovery for MCP client compatibility. However, it doesn't explicitly state when to use this tool versus alternatives like 'check_compatibility' or 'get_mcp_compliance_status_tool', nor does it provide exclusion criteria. The context is clear but lacks explicit guidance on tool selection.

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