Medium Risk

update_shared_summary

Step 1: Provide an explicit Engagement ID OR a search query (query) to locate the note. Step 2: Retrieve the current note content. Step 3: Merge existing values with any provided updates (title, summary, author). Step 4: Update the note while preserving unchanged fields.

Risk signalsAccepts freeform code/query input (query)

Part of the HubSpot MCP Server server.

update_shared_summary can modify HubSpot MCP Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use update_shared_summary to create or modify resources in HubSpot MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call update_shared_summary repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach HubSpot MCP Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_shared_summary": {
      "limits": [
        {
          "counter": "update_shared_summary_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access update_shared_summary gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_shared_summary only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the update_shared_summary tool do? +

Step 1: Provide an explicit Engagement ID OR a search query (query) to locate the note. Step 2: Retrieve the current note content. Step 3: Merge existing values with any provided updates (title, summary, author). Step 4: Update the note while preserving unchanged fields.. It is categorised as a Write tool in the HubSpot 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 update_shared_summary? +

Register the HubSpot MCP Server MCP server in PolicyLayer and add a rule for update_shared_summary: 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 HubSpot MCP Server. Nothing to install.

What risk level is update_shared_summary? +

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

Can I rate-limit update_shared_summary? +

Yes. Add a rate_limit block to the update_shared_summary 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_shared_summary completely? +

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

update_shared_summary is provided by the HubSpot MCP Server MCP server (KaranThink41/hubspot_private_app). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every HubSpot MCP Server tool call.

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