Skip to main content
Glama
Sign In
Business Bridge MCP Server

Business Bridge MCP Server

by AiAgentKarl
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

connect_calendly

Establishes a connection to a Calendly account using a personal access token. Enables AI agents to manage scheduling and appointments via the Business Bridge MCP Server.

Instructions

Calendly-Account verbinden.

Richtet eine Verbindung zum Calendly-Account ein. Benötigt einen Personal Access Token von calendly.com/integrations.

Args: connector_name: Eindeutiger Name für diese Verbindung api_key: Calendly Personal Access Token

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "connector_name": "<connector_name>",
      "api_key": "<api_key>"
    },
    "name": "connect_calendly"
  }
}

Input Schema

NameRequiredDescriptionDefault
connector_nameYes
api_keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states that it 'sets up a connection' but does not disclose whether the token is validated, whether the connection is persistent, what side effects occur, or error behavior.

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

Conciseness5/5

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

The description is very concise with a clear title line, then an explanation, followed by parameter descriptions. Every sentence adds value without redundancy.

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?

For a connection tool, the description covers the core purpose and required inputs but lacks details about the return value, validation checks, or how to disconnect. Given no output schema, more behavioral context would be beneficial.

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

Parameters5/5

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

With 0% schema description coverage, the description fully explains both parameters: connector_name is a unique name, api_key is the Calendly Personal Access Token. This adds necessary meaning beyond the schema names.

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?

The description clearly states the tool connects to a Calendly account ('Calendly-Account verbinden') and specifies the required token source. It distinguishes itself from sibling connect tools (connect_shopify, connect_wordpress) by naming the target service.

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?

The description tells what is needed (a Personal Access Token from a specific URL) and implies the tool is used to set up a Calendly connection. However, it does not explicitly state when not to use it or mention alternative tools.

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

Deploy Server

Other Tools