update_analysis_and_wait

THE RISK

High Risk

Why update_analysis_and_wait needs a policy

This tool triggers an active analysis process on a binary, which is an operation with side effects (updating internal analysis state, recomputing data) and involves waiting for execution to complete. It is not a simple read/query, nor does it delete data or move money. It fits Execute as it runs an external analytical operation whose effects depend on the binary being analyzed.

From the tool's definition 'Update analysis for the binary and wait for it to complete' — triggers an analysis operation and waits for execution to finish

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

POLICY

How to control update_analysis_and_wait

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_analysis_and_wait": {
      "limits": [
        {
          "counter": "update_analysis_and_wait_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

update_analysis_and_wait stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

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

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 16 Binaryninja tools →

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Go deeper

High-risk tools in Binaryninja → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about update_analysis_and_wait

What does the update_analysis_and_wait tool do? +

Update analysis for the binary and wait for it to complete. It is categorised as a Execute tool in the Binaryninja MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on update_analysis_and_wait? +

Register the Binaryninja MCP server in PolicyLayer and add a rule for update_analysis_and_wait: 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 Binaryninja. Nothing to install.

What risk level is update_analysis_and_wait? +

update_analysis_and_wait is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit update_analysis_and_wait? +

Yes. Add a rate_limit block to the update_analysis_and_wait 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 update_analysis_and_wait completely? +

Set action: deny in the PolicyLayer policy for update_analysis_and_wait. 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 update_analysis_and_wait? +

update_analysis_and_wait is provided by the Binaryninja MCP server (mcpphalanx/binaryninja-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Binaryninja tool call.

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

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