Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds meaningful behavioral transparency by detailing the exact return structure (status, message, tool_id, and conditional upgrade_url) and including a usage example. Annotations already provide read-only, idempotent, non-destructive hints, so the description supplements rather than repeats them. It does not mention optional rate limits or error conditions, but for a simple status check this is acceptable.

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 compact and well-structured: purpose, parameter clarification, return format, and an example. Every sentence contributes useful information, with no filler or redundancy. The purpose is front-loaded in the first line.

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?

For a single-parameter read-only status check, the description covers the purpose, parameter, return shape, and example. The output schema (present) further enriches the context. It does not discuss error handling or unavailable tools, but those are minor given the simplicity of the tool and the presence of structured schema details.

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?

Schema description coverage is 100%, and the schema already documents the tool_id parameter with examples and usage instructions. The description duplicates this information and adds the return context, but it introduces no new parameter semantics beyond the schema. A baseline of 3 is appropriate.

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 states a specific verb and resource: 'Check MCPize subscription status for a DataNexus tool.' This clearly distinguishes it from all sibling tools, none of which address MCPize status. The purpose is immediately understandable and precise.

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 gives clear context for when to invoke: 'Pass the tool the user is asking about.' It implies the tool should be used when a user enquires about a specific DataNexus tool's MCPize subscription status. It does not explicitly mention alternatives, but no sibling covers this functionality, so no exclusion is needed.

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