Returns the participant's Canton fee schedule sourced from the
AI agents call canton_fee_schedule to retrieve information from Tenzro Ledger MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and returns fee schedule information from a Canton participant node. This is a query/fetch operation with no write, execute, or financial commitment implications. The word 'Returns' confirms it is read-only.
From the tool's definition 'Returns the participant's Canton fee schedule' — retrieves fee schedule data with no side effects
Attacks that exploit this kind of access
Returns the participant's Canton fee schedule sourced from the. It is categorised as a Read tool in the Tenzro Ledger MCP MCP Server, which means it retrieves data without modifying state.
Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for canton_fee_schedule: 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 Tenzro Ledger MCP. Nothing to install.
canton_fee_schedule 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 canton_fee_schedule 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 canton_fee_schedule. 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.
canton_fee_schedule is provided by the Tenzro Ledger MCP server (https://canton-mcp.tenzro.network/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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