list_user_tokens
List all fungible tokens owned by an address.
This record as markdown: /tools/io-github-aibtcdev-mcp-server/list-user-tokens.md
What list_user_tokens does on Aibtc
AI agents call list_user_tokens to retrieve information from Aibtc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_user_tokens is rated Low
This tool performs a read-only query to enumerate tokens at an address. It has no capability to modify, execute, or delete data. The blast radius if misused by an AI agent is minimal — it can only leak information about token holdings, not alter them or cause financial harm.
From the tool's definition Tool description states 'List all fungible tokens owned by an address' — a pure query operation that retrieves data with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs list_user_tokens safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aibtc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_user_tokens, this is the rule to start with:
list_user_tokens 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 Aibtc, apply this rule, and every list_user_tokens call is checked against it from then on.
Questions about list_user_tokens
List all fungible tokens owned by an address. It is categorised as a Read tool in the Aibtc MCP Server, which means it retrieves data without modifying state.
Register the Aibtc MCP server in PolicyLayer and add a rule for list_user_tokens: 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 Aibtc. Nothing to install.
list_user_tokens 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 list_user_tokens 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 list_user_tokens. 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.
list_user_tokens is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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