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gaiaaiagent

Regen Network MCP Server

by gaiaaiagent

get_validator_outstanding_rewards

Retrieve outstanding rewards for a validator by querying the Regen Network blockchain with their validator address.

Instructions

Get outstanding rewards for a validator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
validator_addressYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavior, but it only states the action. It does not clarify whether the operation is read-only, if authentication is required, or what comprises 'outstanding rewards', thus providing insufficient transparency.

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 concise and front-loaded, consisting of a single sentence that directly states the tool's purpose. It is appropriately sized for a simple tool, though it could be slightly expanded without losing conciseness.

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 that an output schema exists, the description need not explain return values. However, the description is minimal for a tool with many siblings; it lacks details like what 'outstanding rewards' entails, making it just adequate for a simple tool.

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

Parameters2/5

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

The schema description coverage is 0%, and the description adds no details about the validator_address parameter. Although the parameter name is self-explanatory, the description fails to compensate for the lack of schema documentation or provide additional context about its format 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 uses a specific verb 'Get' and identifies the resource 'outstanding rewards for a validator', making the purpose clear. However, it does not differentiate from sibling tools like get_delegation_rewards or get_validator_commission, which could cause confusion for an AI agent selecting the correct tool.

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. There is no mention of prerequisites, context, or situations where this tool is preferred, leaving the AI agent to infer usage from the name alone.

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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