proactive_context
Get contextually relevant tool and workflow suggestions based on time of day, day of week, and your usage patterns.
This record as markdown: /tools/io-github-heznpc-iconnect/proactive-context.md
What proactive_context does on Iconnect
AI agents call proactive_context to retrieve information from Iconnect without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why proactive_context is rated Low
This is a read-only tool that queries and retrieves contextual suggestions based on temporal and usage metadata. It does not modify data, execute external operations, delete anything, or move money. The worst-case misuse would be an agent receiving unhelpful suggestions, posing minimal blast radius.
From the tool's definition Tool 'proactive_context' described as 'Get contextually relevant tool and workflow suggestions' — uses 'Get' verb indicating retrieval/query operation with no side effects. Analyzes 'time of day, day of week, and usage patterns' to surface recommendations.
Attacks that exploit this kind of access
The rule that runs proactive_context safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Iconnect, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For proactive_context, this is the rule to start with:
proactive_context 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 Iconnect, apply this rule, and every proactive_context call is checked against it from then on.
Questions about proactive_context
Get contextually relevant tool and workflow suggestions based on time of day, day of week, and your usage patterns. It is categorised as a Read tool in the Iconnect MCP Server, which means it retrieves data without modifying state.
Register the Iconnect MCP server in PolicyLayer and add a rule for proactive_context: 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 Iconnect. Nothing to install.
proactive_context 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 proactive_context 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 proactive_context. 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.
proactive_context is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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