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MindThread

List account settings (bulk)

list_account_settings
Read-onlyIdempotent

Lists every connected Threads account of this member with the settings of the MindThread bulk settings sheet (run mode, auto-posting, review before publish, posting times, audience time zone, random schedule, library recycling, cold start, content language, AI quality, auto-reply and reply limits) and status chips (expired authorization, repeated publish failures, skipped nightly refill). Up to 100 accounts per page, with limit and cursor for more. columns describes each setting (type, allowed values, which ones are sensitive) and rules_url links to the field rules page. Applies when the user wants to see or compare settings across many accounts. 繁中:列出所有帳號的總表設定與狀態標籤。

Input Schema

NameRequiredDescriptionDefault
limitNo1-100, default 100
cursorNonext_cursor from the previous page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real value on top: pagination behavior (up to 100 accounts per page), the presence of status chips such as expired authorization and repeated publish failures, and the columns/rules_url documentation returned alongside the data.

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?

Front-loaded with the verb and resource, and every clause is informative, including the Traditional Chinese one-line summary. The long parenthetical enumeration of thirteen setting fields is verbose but earns most of its space by telling the agent what will be returned.

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?

With no output schema, the description carries the return-value burden and does reasonably well by naming columns, rules_url, status chips and page size. Minor gaps remain: the overall response envelope (accounts array, next_cursor field name) is only implied.

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 both parameters are documented there with their ranges and meaning. The description's "Up to 100 accounts per page, with limit and cursor for more" largely restates the schema rather than adding new semantics, so the baseline of 3 applies.

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: lists every connected Threads account of the member together with the bulk-settings-sheet fields and status chips. The scope is precise enough to separate it from single-account readers, but no sibling (e.g. get_account_settings_batch, list_accounts, preview_account_settings) is named, so the agent must infer the boundary.

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

Usage Guidelines4/5

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

"Applies when the user wants to see or compare settings across many accounts" gives a clear selection context, which implicitly excludes single-account lookups. There is no explicit when-not statement or named alternative, so routing still relies on 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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