Restore all synced files to this device. Fetches every dev doc that has a local_path set and writes the content to that path on disk. WHEN TO USE: - First time setup on a new machine (desktop, laptop, etc.) - After reinstalling macOS or setting up a fresh environment - To restore Claude memory fi...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Ainote server.
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AI agents call pull_dev_docs to retrieve information from Ainote without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though pull_dev_docs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"pull_dev_docs": {}
}
}See the full Ainote policy for all 32 tools.
These attack patterns abuse exactly the kind of access pull_dev_docs gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Restore all synced files to this device. Fetches every dev doc that has a local_path set and writes the content to that path on disk. WHEN TO USE: - First time setup on a new machine (desktop, laptop, etc.) - After reinstalling macOS or setting up a fresh environment - To restore Claude memory files, CLAUDE.md configs, and other local-only files WHAT IT DOES: 1. Fetches all your dev docs that have local_path set 2. Creates any missing parent directories automatically 3. Writes the file content to each local_path on THIS machine 4. Reports success/failure for each file TYPICAL FILES RESTORED: - ~/.claude/projects/.../memory/MEMORY.md (AI context memory) - ~/projects/*/CLAUDE.md (project-specific AI instructions) - .cursorrules, .windsurfrules (editor AI configs) Run this once after setting up ainote MCP on a new device.. It is categorised as a Read tool in the Ainote MCP Server, which means it retrieves data without modifying state.
Register the Ainote MCP server in PolicyLayer and add a rule for pull_dev_docs: 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 Ainote. Nothing to install.
pull_dev_docs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pull_dev_docs 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.
Set action: deny in the PolicyLayer policy for pull_dev_docs. 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.
pull_dev_docs is provided by the Ainote MCP server (@ainote/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 Ainote tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.