api_tinyman_get_pool_analytics

THE RISK

Low Risk

Why api_tinyman_get_pool_analytics needs a policy

This tool retrieves analytics data about a liquidity pool on the Tinyman DEX without creating, modifying, or deleting any state. It is a pure read operation analogous to querying pool statistics. The sibling tools on this server (orders, trades, claims) are far more sensitive as they involve actual financial transactions; this tool merely exposes information.

From the tool's definition Tool name contains 'get' and description states 'Get analytics for a Tinyman pool' — a data retrieval operation with no modification, deletion, or execution of transactions.

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

POLICY

How to control api_tinyman_get_pool_analytics

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 api_tinyman_get_pool_analytics:

policy.json

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

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

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

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about api_tinyman_get_pool_analytics

What does the api_tinyman_get_pool_analytics tool do? +

Get analytics for a Tinyman pool. 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 api_tinyman_get_pool_analytics? +

Register the Algorand MCP server in PolicyLayer and add a rule for api_tinyman_get_pool_analytics: 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 api_tinyman_get_pool_analytics? +

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

Can I rate-limit api_tinyman_get_pool_analytics? +

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

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

api_tinyman_get_pool_analytics 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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