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Zzero-net

Zero Network MCP Server

by Zzero-net

zero_validator_info

Retrieve validator documentation covering hardware requirements, staking procedures, trust scoring, slashing rules, and economic parameters for Zero Network.

Instructions

Get validator documentation — hardware requirements, staking, trust scoring, slashing rules, economics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The handler function for the zero_validator_info tool, which returns the validator information constant.
    @mcp.tool()
    def zero_validator_info() -> str:
        """Get validator documentation — hardware requirements, staking, trust scoring, slashing rules, economics."""
        return VALIDATOR_INFO
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 'Get' but doesn't clarify if this is a read-only operation, whether it requires authentication, has rate limits, or what the output format entails. The description lacks critical behavioral traits beyond the basic action.

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 a single, efficient sentence that lists key content areas without redundancy. It's front-loaded with the core purpose and uses a dash to enumerate specifics, making it highly concise and well-structured.

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 0 parameters, 100% schema coverage, and an output schema exists, the description is minimally complete. However, with no annotations and a tool that likely returns structured data, it doesn't explain output behavior or usage context, leaving gaps in overall understanding.

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?

The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but with no parameters, the baseline is high as there's nothing to compensate for, making it adequate.

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 with the verb 'Get' and specifies the resource as 'validator documentation' with enumerated content areas (hardware requirements, staking, trust scoring, slashing rules, economics). It distinguishes itself from siblings like zero_api_reference or zero_network_parameters by focusing on validator-specific documentation, though it doesn't explicitly contrast with them.

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. While the description implies it's for validator-related queries, it doesn't specify prerequisites, exclusions, or direct comparisons to siblings like zero_security_model or zero_transaction_format, leaving usage context unclear.

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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