Suggest lightweight schedule optimisations
AI agents call schedule_optimizer to retrieve information from ContextForge MCP Gateway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
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.
Attacks that exploit this kind of access
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.
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.
schedule_optimizer 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 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.
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.
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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