Medium Risk

session_save

Name and describe the current thinking session for later retrieval. Data is already persisted automatically — this adds a meaningful name and optional description.

Part of the Maxential Thinking server.

session_save can modify Maxential Thinking 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 session_save to create or modify resources in Maxential Thinking. 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 session_save 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 Maxential Thinking.

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

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

See the full Maxential Thinking policy for all 20 tools.

Get this rule live on your own Maxential Thinking server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so session_save 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 session_save tool do? +

Name and describe the current thinking session for later retrieval. Data is already persisted automatically — this adds a meaningful name and optional description.. It is categorised as a Write tool in the Maxential Thinking MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on session_save? +

Register the Maxential Thinking MCP server in PolicyLayer and add a rule for session_save: 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 Maxential Thinking. Nothing to install.

What risk level is session_save? +

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

Can I rate-limit session_save? +

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

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

session_save is provided by the Maxential Thinking MCP server (@bam-devcrew/maxential-thinking-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Maxential Thinking tool call.

Deterministic rules across all 20 Maxential Thinking tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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