analyze_registration_lifecycle

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool parses and evaluates, implying a read-only computation, but it does not disclose what 'maturity' and 'renewal status' mean, whether the current date is used, or what exact output the agent should expect. This is a significant gap for a tool with no output schema.

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, front-loaded sentence with no filler. It efficiently conveys the tool's purpose and leaves the reader with the key behavioral orientation needed for selection.

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 two-parameter tool, this is minimally viable: the parameters are well-documented and the purpose is stated. However, with no output schema and no annotations, the description is incomplete about return values, status semantics, and how it differs from raw_whois_lookup in practice.

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%, so the input schema already fully explains creation_year and expiry_year. The description adds some relational meaning by linking these fields to maturity and renewal status, but it does not provide additional parameter-level guidance beyond what the schema already states.

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 uses a specific verb ('Parses') with clear inputs (creation date and expiry date) and explains the output purpose (evaluating domain maturity and renewal status). This clearly differentiates it from the sibling raw_whois_lookup, which focuses on raw data retrieval rather than interpretation.

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 a clear context for using the tool—analyzing registration lifecycle—but provides no explicit when-to-use guidance or exclusions relative to raw_whois_lookup. An agent must infer which tool to choose based on the presence of 'raw' in the sibling name rather than from direct routing guidance.

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