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Cooper Email

List human owners

cooper_list_owners
Read-onlyIdempotent

Use this when you need to check who the human owners of an inbox are and whether they have confirmed, before relying on cooper_notify_owner. Read-only; requires auth. Inputs: inbox_id (required). Returns {data:[{id, email, status (pending|verified|unsubscribed), digest, created_at, verified_at, unsubscribed_at}]}. Never returns confirmation codes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inbox_idYesInbox id (inb_…), username, or full email address

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / inbox_id / description
      Added value: +"Inbox id (inb_…), username, or full email address"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive, so the safety profile is covered. The description still adds value with 'requires auth' and the negative guarantee 'Never returns confirmation codes', which no structured field conveys.

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

Conciseness4/5

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

Dense and front-loaded, with trigger, auth note, inputs, and return shape in order. The return-field enumeration is somewhat long, but it earns its place because no output schema exists.

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

Completeness5/5

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

With no output schema, the description compensates by spelling out the returned object shape including the status enum, and it covers auth requirements and a negative guarantee. An agent has everything needed to call and interpret it.

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?

Schema coverage is 100% and there is only one parameter, so the schema already documents inbox_id fully (id prefixes, username, email). The description adds only 'inbox_id (required)', which is redundant. Baseline 3 for full schema coverage.

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

Purpose5/5

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

States a specific verb and resource ('check who the human owners of an inbox are and whether they have confirmed') and explicitly distinguishes itself from the sibling cooper_notify_owner, so an agent can route correctly without opening schemas.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('when you need to check... before relying on cooper_notify_owner'), naming both the condition and the alternative tool. Nothing is left 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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