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

The description discloses that the tool generates a DID and data wallet as side effects, which provides some behavioral transparency. However, it omits details such as the email confirmation requirement (mentioned only in the schema), idempotency, failure modes, or reversibility. Without annotations, the description carries a partial burden but does not fully address these aspects.

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 concise and well-structured, with the primary action front-loaded in the first sentence and supporting detail in the second. Every word earns its place, despite the minor typo 'aan'. It is appropriately sized for the tool's simplicity.

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?

The description is incomplete for the tool's complexity. It does not mention the return value (no output schema exists), the email confirmation process, or potential failure scenarios. The schema covers parameters, but the description lacks operational context that would allow an agent to fully anticipate the tool's behavior.

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 100% schema description coverage, all four parameters are already documented in the input schema. The tool description adds no additional parameter-specific meaning, so it relies on the schema. The baseline of 3 applies because the schema fully covers parameter semantics.

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 function: to create an account for a human or company, and explicitly mentions it generates a decentralized identifier (DID) and a data wallet. The verb 'Create' and resource 'account' are specific, making the purpose unambiguous even without sibling tools to distinguish from.

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, nor any prerequisites or contextual hints. It simply states what it does, leaving the agent without information about appropriate usage scenarios or any exclusions.

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