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schedule_optimizer

Suggest lightweight schedule optimisations

SERVERContextForge MCP Gateway SOURCEjrmatherly/mcp-context-forge
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/jrmatherly-mcp-context-forge/schedule-optimizer.md

What schedule_optimizer does on ContextForge MCP Gateway

AI agents call schedule_optimizer to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why schedule_optimizer is rated Low

The tool suggests optimizations rather than applying them, making it a read/advisory operation. It does not write, execute, or delete anything. Severity is low since misuse would at most result in unhelpful scheduling suggestions, not data loss or system changes. Confidence is moderate because the description is brief and does not explicitly confirm there are no side effects.

From the tool's definition 'Suggest lightweight schedule optimisations' — the tool produces suggestions/recommendations, implying a read/advisory operation with no side effects.

Questions about schedule_optimizer

What does the schedule_optimizer tool do? +

Suggest lightweight schedule optimisations. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on schedule_optimizer? +

Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for schedule_optimizer: 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 ContextForge MCP Gateway. Nothing to install.

What risk level is schedule_optimizer? +

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

Can I rate-limit schedule_optimizer? +

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

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

schedule_optimizer is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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