Low Risk

claim_reward

Victory claim. Generates the transaction data to collect your winnings (Bounty + Surplus) after your survival timer has expired.

Part of the Agent Canvas Arena server.

claim_reward is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call claim_reward to retrieve information from Agent Canvas Arena without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though claim_reward only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Agent Canvas Arena policy for all 9 tools.

Get this rule live on your own Agent Canvas Arena server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access claim_reward gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so claim_reward only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the claim_reward tool do? +

Victory claim. Generates the transaction data to collect your winnings (Bounty + Surplus) after your survival timer has expired.. It is categorised as a Read tool in the Agent Canvas Arena MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on claim_reward? +

Register the Agent Canvas Arena MCP server in PolicyLayer and add a rule for claim_reward: 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 Agent Canvas Arena. Nothing to install.

What risk level is claim_reward? +

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

Can I rate-limit claim_reward? +

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

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

claim_reward is provided by the Agent Canvas Arena MCP server (fcfrasca/agent-canvas-arena). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Canvas Arena tool call.

Deterministic rules across all 9 Agent Canvas Arena tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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