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callingly

Teams and settings

get_settings
Read-only

List the account's teams, or show the settings update_settings can change with their current values. Call it with no arguments to list the teams: each team's id, whether it is within business hours right now, its AI agent and its follow-up sequence. Calls, AI calls, callbacks and sequences are all routed through a team, so use this to find the team_id those tools need. Any user can list teams. Settings are for account owners and admins. Leave id out to list the account's records of an entity (ids and names); give id to see one record's editable fields. The account entity needs no id. Call it before update_settings so you know the exact field names and current values.

Entities:

  • account: Account-wide call handling and permissions (Settings and Settings → Permissions pages). No id needed.

  • team: A team (ring group): whisper messages, recording, follow-up sequence, fallback team, AI agent assignment and when the AI calls.

  • ai_agent: An AI voice agent: what it says (intro, voicemail, transfer messages), what it knows (context, Q&A) and the qualification questions it asks.

  • user: A user login: name and notification preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoRecord id. Omit to list records, and for the account.
entityNoWhich kind of record. Defaults to team.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

readOnlyHint=true already establishes this is a safe read, but the description adds valuable auth and routing context: teams are listable by any user while settings require owner/admin, and it discloses that calls, AI calls, callbacks and sequences all route through a team. It does not describe pagination or return formatting, so not a full 5.

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-loads the two operating modes before any detail, and the entity glossary is a pragmatic, scannable structure rather than padding. It is on the long side, but every section earns its place; slightly dense.

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?

No output schema, yet the description compensates by naming what a team record returns (id, business-hours status, AI agent, follow-up sequence). Combined with the entity catalogue and permission notes, an agent has enough to call it correctly; only pagination/error behavior is unaddressed.

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?

Schema coverage is 100%, so baseline is 3, but the description adds genuine semantics beyond the schema: omitting id lists records of an entity while supplying id shows one record's editable fields, and the account entity needs no id. This explains how the two params combine, which the schema alone does not.

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 concrete verb+resource with two clear modes: list teams (no arguments) or show the fields update_settings can change. It names the distinct sibling update_settings and explains the relationship, so an agent can differentiate without opening any schema.

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?

Explicit when-to-use: call with no arguments to list teams, use it to find the team_id that call/AI-call/sequence tools need, and call it before update_settings to learn exact field names and current values. It also states the permission model (any user for teams; owners/admins for settings), leaving nothing 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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