get_accumulated_rewards

SERVER0g Chain SOURCEtairon-ai/0g-chain-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/tairon-ai-0g-chain-mcp/get-accumulated-rewards.md

WHAT IT DOES

What get_accumulated_rewards does on 0g Chain

AI agents call get_accumulated_rewards to retrieve information from 0g Chain without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_accumulated_rewards is rated Low

get_accumulated_rewards retrieves and queries reward information for a delegator without side effects. It calculates and displays values but does not create, modify, delete, or execute any operations.

From the tool's definition Tool description explicitly states 'Read-only operation' and the tool only 'Shows current stake value' and provides 'reward estimates' without modifying any data. No state changes occur.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_accumulated_rewards safely

PolicyLayer is an MCP gateway: it sits between your AI agents and 0g Chain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_accumulated_rewards, this is the rule to start with:

get_accumulated_rewards Allowed

get_accumulated_rewards is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_accumulated_rewards": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect 0g Chain, apply this rule, and every get_accumulated_rewards call is checked against it from then on.

FAQ

Questions about get_accumulated_rewards

What does the get_accumulated_rewards tool do? +

Get accumulated rewards information for a delegator. Shows current stake value (which includes auto-compounded rewards), optional reward calculation if original stake provided, and future reward estimates. NOTE: 0G Chain automatically compounds rewards into stake - there is NO separate claim function! To receive rewards, use unstake_tokens. Read-only operation. It is categorised as a Read tool in the 0g Chain MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_accumulated_rewards? +

Register the 0g Chain MCP server in PolicyLayer and add a rule for get_accumulated_rewards: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches 0g Chain. Nothing to install.

What risk level is get_accumulated_rewards? +

get_accumulated_rewards is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_accumulated_rewards? +

Yes. Add a rate_limit block to the get_accumulated_rewards rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_accumulated_rewards completely? +

Set action: deny in the PolicyLayer policy for get_accumulated_rewards. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_accumulated_rewards? +

get_accumulated_rewards is provided by the 0g Chain MCP server (tairon-ai/0g-chain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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