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Zzero-net

Zero Network MCP Server

by Zzero-net

zero_estimate_cost

Calculate operational costs for transactions on Zero Network to help developers budget for crypto-based payments and MCP pricing implementations.

Instructions

Estimate the cost of operating on Zero Network.

Args: num_transactions: Number of transactions to estimate for avg_amount_z: Average transaction amount in Z (default 0.10 Z)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
num_transactionsYes
avg_amount_zNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The implementation of the 'zero_estimate_cost' tool which calculates transaction fees and total costs on the Zero Network.
    @mcp.tool()
    def zero_estimate_cost(num_transactions: int, avg_amount_z: float = 0.10) -> str:
        """Estimate the cost of operating on Zero Network.
    
        Args:
            num_transactions: Number of transactions to estimate for
            avg_amount_z: Average transaction amount in Z (default 0.10 Z)
        """
        fee_per_tx = 0.01  # Z
        total_fees_z = num_transactions * fee_per_tx
        total_fees_usd = total_fees_z * 0.01
        total_amount_z = num_transactions * avg_amount_z
        total_amount_usd = total_amount_z * 0.01
        total_z = total_fees_z + total_amount_z
        total_usd = total_z * 0.01
    
        return f"""# Cost Estimate for {num_transactions:,} transactions
    
    ## Fees
    - Fee per transaction: 0.01 Z ($0.0001)
    - Total fees: {total_fees_z:,.2f} Z (${total_fees_usd:,.4f})
    
    ## Payments (at {avg_amount_z:.2f} Z average)
    - Total payment volume: {total_amount_z:,.2f} Z (${total_amount_usd:,.4f})
    
    ## Total Cost
    - Total Z needed: {total_z:,.2f} Z (${total_usd:,.4f})
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool estimates cost but doesn't describe how the estimation works, what assumptions are made, whether it's a read-only operation, or any rate limits or permissions required. This leaves significant gaps in understanding the tool's behavior beyond basic functionality.

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 appropriately concise and front-loaded, with the main purpose stated first followed by parameter details. There's no wasted text, and the structure is clear. However, the 'Args:' section could be integrated more smoothly, and the overall brevity might sacrifice completeness.

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 complexity (2 parameters, no annotations, but with an output schema), the description is minimally adequate. It covers the basic purpose and parameters but lacks details on behavior, usage context, and output interpretation. The presence of an output schema reduces the need to explain return values, but more guidance on when and how to use the tool would improve completeness.

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?

The description adds minimal semantics beyond the input schema. It explains that 'num_transactions' is the 'Number of transactions to estimate for' and 'avg_amount_z' is the 'Average transaction amount in Z (default 0.10 Z)', which provides basic context. However, with 0% schema description coverage, this doesn't fully compensate for the lack of detailed parameter documentation, such as units, ranges, 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: 'Estimate the cost of operating on Zero Network.' It specifies the verb ('Estimate') and resource ('cost of operating on Zero Network'), making the function unambiguous. However, it doesn't differentiate from siblings like 'zero_pricing_calculator' or 'zero_network_parameters', which might have overlapping or related functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'zero_pricing_calculator' and 'zero_network_parameters', there's no indication of how this tool differs or when it should be preferred. The only implied usage is for cost estimation, but no context or exclusions are mentioned.

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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