alpha_get_reward_markets
Fetch Alpha Arcade markets with liquidity rewards (totalRewards, rewardsPaidOut, etc.). Same shape as alpha_get_live_markets but includes reward info. Requires ALPHA_API_KEY.
This record as markdown: /tools/goplausible-algorand-mcp/alpha-get-reward-markets.md
What alpha_get_reward_markets does on Algorand MCP
AI agents call alpha_get_reward_markets to retrieve information from Algorand MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why alpha_get_reward_markets is rated Low
This tool retrieves market data including reward information from the Algorand blockchain. It queries existing data without creating, modifying, or deleting anything. The fields returned (totalRewards, rewardsPaidOut) are read-only metrics. Even in context of the sibling trading tools (cancel_order, create_market_order), this specific tool performs only data retrieval with no side effects.
From the tool's definition Tool name uses 'get' verb and description states 'Fetch Alpha Arcade markets' with informational fields (totalRewards, rewardsPaidOut). No mutation, deletion, or execution of trades/orders.
Attacks that exploit this kind of access
The rule that runs alpha_get_reward_markets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Algorand MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For alpha_get_reward_markets, this is the rule to start with:
alpha_get_reward_markets is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Algorand MCP, apply this rule, and every alpha_get_reward_markets call is checked against it from then on.
Questions about alpha_get_reward_markets
Fetch Alpha Arcade markets with liquidity rewards (totalRewards, rewardsPaidOut, etc.). Same shape as alpha_get_live_markets but includes reward info. Requires ALPHA_API_KEY. It is categorised as a Read tool in the Algorand MCP MCP Server, which means it retrieves data without modifying state.
Register the Algorand MCP server in PolicyLayer and add a rule for alpha_get_reward_markets: 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 Algorand MCP. Nothing to install.
alpha_get_reward_markets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the alpha_get_reward_markets 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.
Set action: deny in the PolicyLayer policy for alpha_get_reward_markets. 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.
alpha_get_reward_markets is provided by the Algorand MCP server (goplausible/algorand-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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