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Lead Friendly product info

book_demo

Request a Lead Friendly product demo on behalf of a prospect. Routes the request to the sales team and returns the self-serve booking link. Use when a user wants to see/try Lead Friendly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProspect full name
emailYesProspect email
companyNoCompany name (optional)
messageNoAnything the prospect wants the team to know (optional)
industryNoIndustry/vertical (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It explains that the tool routes a request to the sales team and returns a self-serve booking link, which are the key external effects and outcome. It does not mention potential duplication or email side effects, but it is substantially transparent for a simple request tool.

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?

Two sentences with no filler: the first states the action and result, the second gives the usage trigger. Every sentence contributes information, and key details are front-loaded.

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 low-complexity tool with five simple parameters and no nested objects, the description covers what it does, what it returns, and when to use it. There is no output schema, but the description names the return value (booking link), so the agent has enough context to invoke it 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 documents all five parameters. The description adds 'prospect' framing but no new parameter-level meaning beyond what the schema provides. 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 uses a specific verb ('Request') and resource ('Lead Friendly product demo') and clarifies it is done on behalf of a prospect. It also names the outcome (booking link), and this is clearly distinct from sibling tools like get_pricing or create_lead.

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 an explicit usage condition: 'Use when a user wants to see/try Lead Friendly.' It does not name alternatives or exclusion criteria, but the context is clear enough for an agent to know when this tool applies versus the listed siblings.

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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