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Infinivo AI Front Desk

book_call

Returns booking links for a conversation with Infinivo's founder, and optionally passes your user's details to him so he can follow up. Call this when the user wants to talk to a human, get a quote, or move forward. Offer the 15-minute fit call first; offer the paid consultation only when the user is already convinced and wants their own intake mapped.

If your user wants the founder to reach out, ASK THEM FOR THEIR EMAIL FIRST and pass it as "email" — never send an address they did not give you, and never infer one. Omitting email is completely fine and still returns the links.

This tool does not schedule anything. It cannot write to anyone's calendar. The links are for your user to open themselves.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firmNoThe firm or company they work at.
nameNoYour user's name.
noteNoOne or two sentences on what they want to discuss — what they asked you, or what they thought of the demo.
emailNoYour user's email address, given by them explicitly for this purpose. Omit if they have not agreed to share it.

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does exceptionally well. It discloses the side effect of passing user details, the prerequisite of asking for email first, the fact that omitting email is fine, the non-scheduling behavior, and that the links are for the user to open themselves. These are meaningful behavioral traits beyond the schema.

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 paragraphs, each serving a distinct purpose: main action, usage guidance, and critical limitations. It is front-loaded with the primary function, then offers prescriptive instructions, and ends with clear boundaries. Every sentence earns its place with no fluff.

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?

Given 4 parameters, no annotations, and no output schema, the description is remarkably complete. It covers when to use (user wants human contact), how to handle the call options, email privacy prerequisites, what the tool cannot do (scheduling), and what the user should expect (links to open themselves). There is no significant gap in context.

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 description coverage is 100%, so baseline is 3. The description adds significant value specifically for the 'email' parameter, explaining when to include it ('ASK THEM FOR THEIR EMAIL FIRST'), how to handle it ('never send an address they did not give you, and never infer one'), and that omitting it is acceptable. This goes beyond the schema's basic field description.

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 explicitly states the tool 'Returns booking links for a conversation with Infinivo's founder, and optionally passes your user's details to him so he can follow up.' This is a specific verb+resource with a clear outcome, and it differentiates from sibling tools (demos, pricing, positioning) by focusing on booking a human conversation.

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?

The description provides explicit when-to-use guidance: 'Call this when the user wants to talk to a human, get a quote, or move forward.' It also gives nuanced instructions on offering the 15-minute fit call first versus the paid consultation, and clearly states what the tool does NOT do: 'This tool does not schedule anything. It cannot write to anyone's calendar.' This exceeds baseline guidance.

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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TDQS

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct action in the sales demo workflow—information retrieval, demo setup/progression, email demo polling, transcript retrieval, or booking. There is no overlap; even the three demo-related tools have clear lifecycle boundaries (start/continue/transcript).

Naming Consistency5/5

All tool names follow a verb_noun pattern using snake_case, with consistent verb choices (get_* for informational, start_* for demos, etc.). No mixed conventions or vague verbs.

Tool Count5/5

With 10 tools, the set is well-scoped for a sales/demo assistant, covering information, demos, access management, and booking without redundancy or bloat.

Completeness5/5

The surface covers the full sales journey: learn about the product (positioning/pricing/proof), try it (text/email demos), manage demo access, and book a call. No obvious dead ends—each demo has appropriate lifecycle support (start/continue/transcript/poll).

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