build_schedule
Convert WBS into a simple sequential schedule model.
This record as markdown: /tools/jrmatherly-mcp-context-forge/build-schedule.md
What build_schedule does on ContextForge MCP Gateway
AI agents invoke build_schedule to trigger actions in ContextForge MCP Gateway. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why build_schedule is rated High
Building a schedule from a WBS involves executing a transformation/computation process. It is not a pure read (it produces a new artifact) but also not clearly a write to persistent storage or destructive. The most appropriate category is Execute, as it runs a scheduling algorithm/model generation.
From the tool's definition 'Convert WBS into a simple sequential schedule model' — transforms a Work Breakdown Structure into a schedule, implying computation/model generation rather than simple data retrieval or storage.
Attacks that exploit this kind of access
The rule that runs build_schedule safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For build_schedule, this is the rule to start with:
build_schedule stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ContextForge MCP Gateway, apply this rule, and every build_schedule call is checked against it from then on.
Questions about build_schedule
Convert WBS into a simple sequential schedule model. It is categorised as a Execute tool in the ContextForge MCP Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for build_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 ContextForge MCP Gateway. Nothing to install.
build_schedule is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the build_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 build_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.
build_schedule 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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