AI agents call get_chains to retrieve information from Zerion without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval tool that returns a list of blockchain networks supported by the Zerion API. It has no side effects, cannot modify data, and poses minimal security risk even if invoked by an AI agent. It falls squarely within the 'Read' category as a simple lookup/query operation.
From the tool's definition Tool name 'get_chains' and description 'Get list of all supported blockchain networks' indicate a query operation that retrieves static reference data about supported blockchains.
Attacks that exploit this kind of access
Get list of all supported blockchain networks. It is categorised as a Read tool in the Zerion MCP Server, which means it retrieves data without modifying state.
Register the Zerion MCP server in PolicyLayer and add a rule for get_chains: 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 Zerion. Nothing to install.
get_chains 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 get_chains 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 get_chains. 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.
get_chains is provided by the Zerion MCP server (rockyale/zerion-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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