clear_solution_context

ServerDataverse MCP Server
CategoryWrite

WHAT IT DOES

What clear_solution_context does on Dataverse MCP Server

AI agents use clear_solution_context to create or update resources in Dataverse MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse MCP Server environment.

THE RISK

Medium Risk

Why clear_solution_context needs a policy

This tool modifies the active session/configuration state by clearing the solution context. It is reversible (a new solution context can be set), so it falls under Write rather than Destructive. The blast radius is low since it only affects how subsequent metadata operations are associated, not data itself.

From the tool's definition Clears the currently active solution context... metadata operations will not be associated with any specific solution

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

POLICY

How to control clear_solution_context

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "clear_solution_context": {
      "limits": [
        {
          "counter": "clear_solution_context_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

clear_solution_context stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Dataverse MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about clear_solution_context

What does the clear_solution_context tool do? +

Clears the currently active solution context. After clearing, metadata operations will not be associated with any specific solution. Use this when you want to work without a solution context or before switching to a different solution. It is categorised as a Write tool in the Dataverse MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on clear_solution_context? +

Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for clear_solution_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 Dataverse MCP Server. Nothing to install.

What risk level is clear_solution_context? +

clear_solution_context is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit clear_solution_context? +

Yes. Add a rate_limit block to the clear_solution_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.

How do I block clear_solution_context completely? +

Set action: deny in the PolicyLayer policy for clear_solution_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.

What MCP server provides clear_solution_context? +

clear_solution_context is provided by the Dataverse MCP Server MCP server (mwhesse/dataverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dataverse MCP Server tool call.

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

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