resource_allocator
Report resource allocation variance
This record as markdown: /tools/jrmatherly-mcp-context-forge/resource-allocator.md
What resource_allocator does on ContextForge MCP Gateway
AI agents call resource_allocator 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 resource_allocator is rated Low
The description says 'Report resource allocation variance', which suggests a read/query operation that fetches and presents variance data. No write, execute, or destructive semantics are indicated. Confidence is moderate because the description is brief and the tool name 'resource_allocator' could imply allocation actions, but the description text overrides that with a reporting framing.
From the tool's definition 'Report resource allocation variance' — the word 'Report' implies retrieval/display of information about allocation variance, not modification.
Attacks that exploit this kind of access
The rule that runs resource_allocator 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 resource_allocator, this is the rule to start with:
resource_allocator is read-only, so it stays allowed. 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 resource_allocator call is checked against it from then on.
Questions about resource_allocator
Report resource allocation variance. 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 resource_allocator: 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.
resource_allocator 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 resource_allocator 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 resource_allocator. 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.
resource_allocator 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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