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generate_claimable_demo_bot

Creates a pre-configured claimable demo chatbot for cold outreach or client handoffs. Returns the unique public /claim/ link, bot_id, and an outreach email pitch.

Input Schema

NameRequiredDescriptionDefault
target_urlYes
target_nameYes
primary_colorNo#0f172a
welcome_messageNo
suggested_promptsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral-disclosure burden. It discloses the return values (public /claim/ link, bot_id, outreach email pitch), which is valuable, but it does not explain permissions, whether the outreach email is sent or merely returned, or what side effects occur during bot creation.

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 brief sentences with no wasted text. The main effect is front-loaded, and the return-value detail follows naturally.

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

Completeness2/5

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

For a five-parameter mutation tool with no annotations and no output schema, the description is substantially incomplete. It names return values but leaves parameter meanings, side effects, and invocation prerequisites unexplained, so an agent would have to guess at key aspects of correct use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across five parameters, and the description never mentions target_name, target_url, primary_color, welcome_message, or suggested_prompts. With no annotations and no schema descriptions, the definition does nothing to compensate for the documentation gap, leaving the parameters to be inferred from bare titles alone.

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 states a specific verb ('Creates'), a specific resource ('pre-configured claimable demo chatbot'), and a concrete use case ('cold outreach or client handoffs'). It does not explicitly differentiate from the sibling create_chatbot tool, but the claimable-demo framing is distinctive enough for an agent to understand the purpose.

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?

It gives clear usage context: cold outreach or client handoffs. It does not state when not to use it or name alternatives such as create_chatbot for full production bots, so the routing guidance is incomplete but still useful.

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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