list_domains
Retrieve verified sending domains to manage email authentication and ensure deliverability for transactional emails.
Instructions
List verified sending domains
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve verified sending domains to manage email authentication and ensure deliverability for transactional emails.
List verified sending domains
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 only states what the tool does ('List verified sending domains') without explaining what 'verified' means, how results are returned (e.g., pagination, format), or any constraints like rate limits or authentication needs. This leaves significant gaps for a tool that likely interacts with a domain management system.
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, efficient sentence with no wasted words. It is front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place by conveying essential information.
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 the tool's simplicity (0 parameters, no output schema), the description is adequate as a minimum viable explanation. However, it lacks context about what 'verified' entails, how results are structured, or any behavioral traits, which could be important for an AI agent to use it effectively. Without annotations or output schema, more detail would improve completeness.
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?
The tool has 0 parameters, and the schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, but it appropriately doesn't mention any. A baseline of 4 is applied for zero-parameter tools when the schema is fully covered.
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 verb ('List') and resource ('verified sending domains'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_batches' or 'list_templates' beyond the resource type, which prevents a perfect score.
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?
No guidance is provided on when to use this tool versus alternatives. For example, it doesn't specify if this should be used before 'verify_domain' or after 'add_domain', nor does it mention any prerequisites or exclusions for usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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