Trigger context garbage collection. This clears cached file skeletons that are no longer needed, freeing context window space. Use this when you notice context is getting full or after completing a task branch.
AI agents invoke context_gc to trigger actions in ContextGC. 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.
context_gc triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Trigger context garbage collection. This clears cached file skeletons that are no longer needed, freeing context window space. Use this when you notice context is getting full or after completing a task branch. It is categorised as a Execute tool in the ContextGC MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ContextGC MCP server in PolicyLayer and add a rule for context_gc: 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 ContextGC. Nothing to install.
context_gc 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 context_gc 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 context_gc. 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.
context_gc is provided by the ContextGC MCP server (superzavier/contextgc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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