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Zzero-net

Zero Network MCP Server

by Zzero-net

zero_pricing_calculator

Calculate expected revenue for Zero-gated services by inputting price per API call and daily call volume to project earnings.

Instructions

Calculate expected revenue for a Zero-gated service.

Args: price_per_call_z: Price per API/tool call in Z daily_calls: Expected number of calls per day

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
price_per_call_zYes
daily_callsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The `zero_pricing_calculator` tool handler function calculates revenue estimates based on price per call and daily volume. It is registered with `@mcp.tool()`.
    @mcp.tool()
    def zero_pricing_calculator(
        price_per_call_z: float,
        daily_calls: int,
    ) -> str:
        """Calculate expected revenue for a Zero-gated service.
    
        Args:
            price_per_call_z: Price per API/tool call in Z
            daily_calls: Expected number of calls per day
        """
        daily_revenue_z = price_per_call_z * daily_calls
        daily_revenue_usd = daily_revenue_z * 0.01
        monthly_revenue_usd = daily_revenue_usd * 30
        annual_revenue_usd = daily_revenue_usd * 365
    
        return f"""# Revenue Estimate
    
    ## Pricing
    - Price per call: {price_per_call_z:.2f} Z (${price_per_call_z * 0.01:.4f})
    - Daily calls: {daily_calls:,}
    
    ## Revenue
    - Daily: {daily_revenue_z:,.2f} Z (${daily_revenue_usd:,.2f})
    - Monthly: {daily_revenue_z * 30:,.2f} Z (${monthly_revenue_usd:,.2f})
    - Annual: {daily_revenue_z * 365:,.2f} Z (${annual_revenue_usd:,.2f})
    
    ## For Context
    - No API key management needed
    - No subscription billing infrastructure
    - No chargebacks
    - Instant settlement (<500ms)
    - Revenue appears in your Zero wallet immediately
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the calculation function without mentioning permissions, rate limits, error handling, or output format. For a tool with no annotation coverage, this is insufficient.

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?

The description is front-loaded with the core purpose, followed by parameter explanations in a clear 'Args:' section. It's efficient with minimal waste, though the parameter explanations could be slightly more detailed given the lack of schema descriptions.

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

Completeness3/5

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

Given the tool's low complexity (2 simple parameters) and the presence of an output schema, the description is somewhat complete. However, with no annotations and 0% schema coverage, it should provide more behavioral context (e.g., calculation method, assumptions) to be fully adequate.

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 0%, but the description compensates by explaining both parameters: 'price_per_call_z' as 'Price per API/tool call in Z' and 'daily_calls' as 'Expected number of calls per day'. This adds meaningful context beyond the schema's basic titles, though it doesn't detail units or constraints.

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 clearly states the tool's purpose: 'Calculate expected revenue for a Zero-gated service.' It specifies the verb ('calculate') and resource ('expected revenue'), and while it doesn't explicitly differentiate from siblings like 'zero_estimate_cost', the focus on revenue calculation for a specific service type provides reasonable clarity.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites, typical scenarios, or comparisons with sibling tools like 'zero_estimate_cost', leaving the agent without usage direction.

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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