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Read the account settings

get_settings

Reads the settings of the account, starting with whether an incoming message has Iris draft an answer on its own. "own_domain_spoofs" says what the account does with a mail that shows one of its own domains and fails DMARC: "filed" when such a mail goes to Spam (to the Trash, closed, on a helpdesk queue) as it arrives, and "exempt_senders" for the addresses of the account that keep arriving normally although they fail. It is read here, and the support team changes it on request.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose the key trait: this is a read-only view and changes go through the support team, which prevents a fruitless write attempt. It also decodes the semantics of the own_domain_spoofs values ("filed" vs "exempt_senders"). It says nothing about permissions, auth, or how many settings are returned.

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

Conciseness3/5

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

The purpose is front-loaded in the first clause, but the second sentence is a long, heavily parenthesized run-on that buries the meaning of "filed" in an aside. It is not padded with filler, yet it is denser and less scannable than it needs to be.

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

Completeness3/5

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

With no output schema and no annotations, the description must stand in for the return shape, and it only covers two settings while "starting with" implies more. It is enough to know the tool is a safe read, but not enough to know the full structure of what comes back.

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

Parameters4/5

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

Zero parameters, so the baseline of 4 applies; there is no input to document. The description instead spends its words on returned-field semantics, which is the right use of space for a parameterless tool.

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?

"Reads the settings of the account" is a clear verb+resource, and the follow-on sentences name specific settings returned (auto-draft, own_domain_spoofs). It does not name a sibling setter (set_auto_draft, set_signature) explicitly, so differentiation is by implication rather than by reference.

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?

The line "It is read here, and the support team changes it on request" usefully tells the agent this account-level setting cannot be mutated through any tool, which is a real usage constraint. However, it never states when to call this tool versus list_mailboxes, list_brands, or the other list_* reads, so selection guidance is only implied.

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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