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Bookings

list_bookings
Read-only

The bookings the assistant has captured in chat.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_bookings"
  }
}

Input Schema

NameRequiredDescriptionDefault
brandNoWhich assistant (its slug from get_overview `brands[].slug`). Leave out when the business has one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds the scoping detail that bookings were captured in chat, but does not disclose return format, pagination, ordering, or other behavioral traits.

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?

The description is a single sentence with no wasted words and puts the resource and scope first. It is appropriately short, though the fragmentary phrasing makes it slightly less structured than a complete leading sentence.

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?

This is a simple read-only tool with one optional parameter and no output schema, so the description does not need to explain much. Still, it omits return-shape and list-behavior details such as whether all bookings are returned or how they are ordered.

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 the single optional brand parameter is fully documented in the schema as a slug from get_overview. The description adds no parameter meaning, so the baseline 3 applies when the schema does the heavy lifting.

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?

The name plus description identify the resource (bookings) and scope (captured in chat), so an agent can tell it is a bookings-list tool. However, the fragment omits an explicit listing verb and does not distinguish it from siblings such as list_scheduled or list_leads.

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

Usage Guidelines2/5

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

The description gives no when-to-use guidance, exclusions, or alternatives. It only implies that this is for bookings captured in chat, leaving the agent to infer when to choose it over list_scheduled, list_leads, or search_chats.

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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