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List Inbound Addresses

senderkit_inbound_addresses_list
Read-only

List the workspace's programmatic inbound email addresses — the addresses that receive mail and forward it or fire a webhook into the workspace.

Input Schema

NameRequiredDescriptionDefault
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."

Output Schema

NameRequiredDescriptionDefault
dataYesThe workspace's inbound addresses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered without the description. The description adds useful domain context about what inbound addresses do, but says nothing about pagination, auth scope, or result size; with an output schema present, return format is reasonably omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the action verb first and zero filler; the definitional dash clause earns its place by clarifying the resource. Nothing to trim.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with annotations covering safety, a fully documented single parameter, and an output schema explaining the return shape, the description supplies the conceptual grounding an agent needs. Only the lack of explicit sibling differentiation keeps it short of a 5.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single parameter (context) with 100% schema description coverage, so the schema already carries the semantics and the description adds nothing about parameters. Baseline 3 is correct when the schema does the work and the description stays silent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List the workspace's programmatic inbound email addresses') and defines what those addresses are, so an agent understands the object being listed. It does not, however, explicitly distinguish itself from siblings like senderkit_inbound_domains_list or senderkit_inbound_messages_list, which a reader must infer from the resource name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the clear list semantics and the definitional clause about receiving/forwarding mail or firing webhooks, but there is no explicit when-to-use, when-not-to-use, or alternative (e.g. domains_list vs messages_list) named. Adequate but leaves routing to inference.

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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Directories

Listed in ChatGPT · SenderKit

Last observed