Low Risk

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.

How to control alpha_get_reward_markets ↓

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 — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why alpha_get_reward_markets needs a policy

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.

Documented attack patterns abuse exactly the kind of access alpha_get_reward_markets gives an agent:

How to control alpha_get_reward_markets

PolicyLayer is an MCP gateway — it sits between your AI agents and Algorand MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for alpha_get_reward_markets:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "alpha_get_reward_markets": {}
  }
}

alpha_get_reward_markets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Algorand MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about alpha_get_reward_markets

What does the alpha_get_reward_markets tool do? +

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.

How do I enforce a policy on alpha_get_reward_markets? +

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.

What risk level is alpha_get_reward_markets? +

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

Can I rate-limit alpha_get_reward_markets? +

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.

How do I block alpha_get_reward_markets completely? +

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.

What MCP server provides alpha_get_reward_markets? +

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.

Enforce policy on every Algorand MCP tool call.

Start from Algorand MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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172 Algorand MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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