generate_schedule

Generate coupon/payment accrual periods between an effective and a termination date: monthly to annual frequency, backward or forward roll, short or long stub, optional end-of-month rule, business-day adjustment per calendar. Returns each period

Server Shikamaru JayOfemi/shikamaru
Category Read
Risk class Low
Parameters 00 required

What generate_schedule does on Shikamaru

AI agents call generate_schedule to retrieve information from Shikamaru without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why generate_schedule needs a policy

This tool performs a deterministic calculation to generate a schedule of accrual periods based on input parameters. It reads/computes date math and returns results without modifying any data, executing code with side effects, or committing financial transactions. It is purely a calculation/query tool.

From the tool's definition Generate coupon/payment accrual periods between an effective and a termination date... Returns each period

Questions about generate_schedule

What does the generate_schedule tool do? +

Generate coupon/payment accrual periods between an effective and a termination date: monthly to annual frequency, backward or forward roll, short or long stub, optional end-of-month rule, business-day adjustment per calendar. Returns each period. It is categorised as a Read tool in the Shikamaru MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on generate_schedule? +

Register the Shikamaru MCP server in PolicyLayer and add a rule for generate_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 Shikamaru. Nothing to install.

What risk level is generate_schedule? +

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

Can I rate-limit generate_schedule? +

Yes. Add a rate_limit block to the generate_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.

How do I block generate_schedule completely? +

Set action: deny in the PolicyLayer policy for generate_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.

What MCP server provides generate_schedule? +

generate_schedule is provided by the Shikamaru MCP server (JayOfemi/shikamaru). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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