verify_trial_email

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 discloses the key side effect: 'On success, the API key is automatically configured.' It also implies a prerequisite (code from email) and a state change (verification). It does not detail failure behaviors, but for a simple verification step, this is valuable and beyond what the name alone suggests.

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 three concise sentences and every sentence earns its place: what the tool does, when to call it, and what happens on success. It is front-loaded with the main action and contains no filler or repetition.

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 simple tool with two well-documented parameters, no output schema, and no annotations, the description provides the essential context: the workflow position (after create_trial_account), the prerequisite (user's code), and the outcome (API key configuration). It does not mention the response format, but in the absence of an output schema this is not a critical gap.

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 coverage is 100%: both email and verification_code have descriptions in the input schema. The description adds minimal parameter-specific meaning beyond the schema, only contextualizing that the code comes from the user's email. Baseline 3 is appropriate since the schema already fully documents parameters.

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: 'Verify a trial account email with the verification code sent to the user.' It uses a specific verb ('verify') and resource ('trial account email'), and explicitly references the preceding step in the workflow (create_trial_account), which distinguishes it from sibling tools like resend_verification_code.

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 provides clear usage context: 'Call this after create_trial_account' and notes that the user must provide the code from their email. It does not explicitly mention when not to use it or alternatives, but the sequencing guidance is sufficient for a straightforward workflow.

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