Low Risk

view_progress

View execution progress for a plan.

How to control view_progress ↓

What view_progress does on Context Engine MCP Server

AI agents call view_progress to retrieve information from Context Engine MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why view_progress needs a policy

This tool queries the state of a plan's execution progress. There are no side effects, data modifications, or external operations triggered. It is purely informational retrieval, fitting the Read category for tools that query or retrieve data without side effects.

From the tool's definition Tool name 'view_progress' and description 'View execution progress for a plan' indicate a read-only operation that retrieves status information about plan execution without modifying state.

Documented attack patterns abuse exactly the kind of access view_progress gives an agent:

How to control view_progress

PolicyLayer is an MCP gateway — it sits between your AI agents and Context Engine MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for view_progress:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "view_progress": {}
  }
}

view_progress is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Context Engine MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about view_progress

What does the view_progress tool do? +

View execution progress for a plan. It is categorised as a Read tool in the Context Engine MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on view_progress? +

Register the Context Engine MCP Server MCP server in PolicyLayer and add a rule for view_progress: 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 Context Engine MCP Server. Nothing to install.

What risk level is view_progress? +

view_progress is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit view_progress? +

Yes. Add a rate_limit block to the view_progress 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.

How do I block view_progress completely? +

Set action: deny in the PolicyLayer policy for view_progress. 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.

What MCP server provides view_progress? +

view_progress is provided by the Context Engine MCP Server MCP server (kirachon/context-engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Context Engine MCP Server tool call.

Start from Context Engine MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

50 Context Engine MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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