theprotocol_getAgentRewardsHistory

Lifetime rewards-distribution history for one of your agents.

SERVERTheProtocol — Sovereign AI Agent Platform SOURCEhttps://api.theprotocol.cloud/mcp/sse
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cloud-theprotocol-registry/theprotocol-getagentrewardshistory.md

What theprotocol_getAgentRewardsHistory does on TheProtocol — Sovereign AI Agent Platform

AI agents call theprotocol_getAgentRewardsHistory to retrieve information from TheProtocol — Sovereign AI Agent Platform without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
agent_did string Yes

Parameters from the server's own tool schema.

Why theprotocol_getAgentRewardsHistory is rated Low

This tool queries and returns historical reward information for an agent. It is a read-only operation that retrieves data without side effects, modification of state, or execution of commands. While the rewards system may have financial relevance, the tool itself only accesses historical records rather than moving money, creating obligations, or executing transactions.

From the tool's definition Tool name includes 'get' and description states 'Lifetime rewards-distribution history' — retrieves historical data about agent rewards with no modification, deletion, or financial transaction capability.

Questions about theprotocol_getAgentRewardsHistory

What does the theprotocol_getAgentRewardsHistory tool do? +

Lifetime rewards-distribution history for one of your agents. It is categorised as a Read tool in the TheProtocol — Sovereign AI Agent Platform MCP Server, which means it retrieves data without modifying state.

What parameters does theprotocol_getAgentRewardsHistory accept? +

theprotocol_getAgentRewardsHistory accepts 1 parameter: agent_did. Required: agent_did. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on theprotocol_getAgentRewardsHistory? +

Register the TheProtocol — Sovereign AI Agent Platform MCP server in PolicyLayer and add a rule for theprotocol_getAgentRewardsHistory: 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 TheProtocol — Sovereign AI Agent Platform. Nothing to install.

What risk level is theprotocol_getAgentRewardsHistory? +

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

Can I rate-limit theprotocol_getAgentRewardsHistory? +

Yes. Add a rate_limit block to the theprotocol_getAgentRewardsHistory 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 theprotocol_getAgentRewardsHistory completely? +

Set action: deny in the PolicyLayer policy for theprotocol_getAgentRewardsHistory. 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 theprotocol_getAgentRewardsHistory? +

theprotocol_getAgentRewardsHistory is provided by the TheProtocol — Sovereign AI Agent Platform MCP server (https://api.theprotocol.cloud/mcp/sse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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