Skip to main content
Glama

Meta Muse MCP Server by useapi.net (third-party)

List permission requests

muse_list_approvals
Read-onlyIdempotent

List the agent's permission requests on a Muse account across all chats: pending ones (answer with muse_answer_approval using the chatId and approvalId) and recently decided ones. GET /accounts/{email}/approvals.

Input Schema

NameRequiredDescriptionDefault
emailNoThe Muse account email. Optional when the API token has one Muse account.
limitNoHow many decided requests to read, 1 to 100 (default 50).
statusNopending for the waiting requests only, or all (default) for pending and decided.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the bar is lower; the description adds genuine context by disclosing that results span all chats and include both pending and recently decided requests. It does not discuss pagination or rate limits, but that is minor against the annotation coverage.

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?

Two sentences, front-loaded with the resource and scope, with the routing hint following. Ends with a compact endpoint reference that adds minor verification value; nothing is padded.

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 no output schema, the description supplies scope, the answering workflow, and the endpoint, which is enough to call it correctly; annotations carry the safety profile. Return-field details are only partially covered (chatId/approvalId named, others 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 description coverage is 100% and all three parameters (email, limit, status) are documented with defaults and enum meaning in the schema itself. The description adds no syntax or semantics beyond the schema, so the baseline 3 applies.

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 (List) and resource (the agent's permission requests/approvals) plus scope (across all chats, pending and recently decided). It is clearly distinguishable from sibling muse_answer_approval, which it names as the answering counterpart.

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?

Explicitly routes the pending case to muse_answer_approval and tells the agent which identifiers (chatId, approvalId) to use, giving clear context for what to do with the results. It stops short of stating when-not to call this versus other read siblings, so it is strong but not fully enumerated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources