Medium Risk

bear_context_setup

Initialize a context library — a curated, synced folder of Bear notes optimized for LLM consumption. Creates the directory structure and config. After setup, tag Bear notes with #context (or a custom prefix) and use bear_context_sync to pull them in. One-time operation.

Risk signalsAccepts file system path (dir)

Part of the Better Bear server.

bear_context_setup can modify Better Bear 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 bear_context_setup to create or modify resources in Better Bear. 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 bear_context_setup 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 Better Bear.

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

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

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These attack patterns abuse exactly the kind of access bear_context_setup 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 bear_context_setup 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 bear_context_setup tool do? +

Initialize a context library — a curated, synced folder of Bear notes optimized for LLM consumption. Creates the directory structure and config. After setup, tag Bear notes with #context (or a custom prefix) and use bear_context_sync to pull them in. One-time operation.. It is categorised as a Write tool in the Better Bear MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on bear_context_setup? +

Register the Better Bear MCP server in PolicyLayer and add a rule for bear_context_setup: 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 Better Bear. Nothing to install.

What risk level is bear_context_setup? +

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

Can I rate-limit bear_context_setup? +

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

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

bear_context_setup is provided by the Better Bear MCP server (better-bear). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Better Bear tool call.

Deterministic rules across all 35 Better Bear tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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