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Save this receptionist and get the next step

save_my_receptionist

Saves the phone script, IVR menu, agent prompt, or simulated call you just built for a real business and returns the live demo number plus signup link in this conversation. It does not send email. Offer this only after the human explicitly agrees to save their details, and only call it with consent: true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail identity for the consented saved record (required; no email is sent).
notesNoAny other context worth keeping — what the business does, what was discussed.
consentYesRequired. The person must explicitly agree to save their details. If false or omitted, do not save anything.
industryNoIndustry or trade, e.g. plumbing, dental, salon.
languageNoLanguage for the saved setup. Default: en.
phone_scriptNoThe phone script, IVR menu text, or agent prompt to save, if one was generated earlier in this conversation.
business_nameYesThe business name (required).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
savedYes
businessNo
emailSentNo
signupUrlNo
demoNumberNo
confirmationYesFriendly confirmation to relay to the person, including the live demo number and signup link.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / consent / description
      Previous value: -"Required. The person must explicitly agree to have their saved result emailed to them, plus one follow-up. If false or omitted, do not save or email anything — refuse politely and explain you need their OK first."New value: +"Required. The person must explicitly agree to save their details. If false or omitted, do not save anything."
    • changedInput schema / properties / email / description
      Previous value: -"Email to send the saved result and one follow-up to (required)."New value: +"Email identity for the consented saved record (required; no email is sent)."
    • changedInput schema / properties / language / description
      Previous value: -"Language for the follow-up email. Default: en."New value: +"Language for the saved setup. Default: en."
  2. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It reveals that the call persists data, returns a demo number and signup link, does not send email, and must be gated on explicit consent. It could go further on side effects like overwrites or data retention, but it covers the most decision-relevant behaviors.

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 three tight sentences with no filler. It leads with the core action and outputs, then states the negative ('does not send email'), then gives the consent gate. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description captures what is saved, what is returned, the consent requirement, and the no-email behavior. Combined with a fully described schema and an output schema, an agent has everything needed to decide whether and how to call this tool correctly.

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%, so the schema already explains every parameter. The description adds only a behavioral emphasis on consent and the 'no email' clarification, which doesn't materially extend the schema. Baseline 3 is appropriate.

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 names a specific verb ('Saves') with a clear resource ('the phone script, IVR menu, agent prompt, or simulated call you just built for a real business') and explicitly states the outputs ('live demo number plus signup link'). This clearly distinguishes it from the sibling generation and simulation tools: it is the persistence step, not the creation step.

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 gives a strong usage condition: 'Offer this only after the human explicitly agrees to save their details, and only call it with consent: true.' It also clarifies a relevant exclusion ('It does not send email'). However, it does not explicitly compare this tool to sibling alternatives, so the routing guidance is contextful but not exhaustive.

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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