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AI receptionist (phone answering)

ai_receptionist
Read-only

Details of the Deenwise AI receptionist for takeaways and restaurants: answers calls on a dedicated number, takes orders and bookings, answers questions, sends everything to the till. Price and how to get a demo.

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": "ai_receptionist"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the agent knows this is a safe, self-contained read. The description adds that the payload is informational content (features, price, demo path) rather than an action, but says nothing about the shape, length, or structure of the response. With annotations carrying the safety profile, this is adequate but not rich.

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?

One sentence, front-loaded with the subject ('Details of the Deenwise AI receptionist') and then the content list. The trailing 'Price and how to get a demo' is slightly promotional but still informative about returned content. Nothing is redundant.

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 zero-parameter, read-only information tool with no output schema, the description covers what the agent needs to decide to call it: what product, what content categories. The main omission is how this differs from deenwise_overview and deenwise_plans, which an agent comparing product-info tools would want.

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?

The tool takes no parameters at all, so the schema imposes no burden and the baseline of 4 applies. The description correctly implies the tool is a parameterless product-info fetch rather than hinting at options that do not exist.

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 description names a specific resource (the Deenwise AI receptionist for takeaways and restaurants) and enumerates what the returned details cover: dedicated number, call answering, orders, bookings, questions, till integration, price, and demo. An agent can tell this is a product-information lookup rather than a booking or ordering action, which separates it from find_restaurants or restaurant_menu. It stops short of naming a sibling it is distinct from.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is the tool for questions about the AI phone-answering product. There is no explicit when-to-use statement and no routing away from overlapping siblings such as deenwise_plans (pricing) or request_demo (demo requests), even though the description advertises both price and demo information.

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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