get_playbook
Fetch one playbook's full step-by-step operating procedure by name (see list_playbooks). Follow the returned steps in order, using the exact tools it names, and report progress to the user in their language.
This record as markdown: /tools/a3plus-mcp/get-playbook.md
What get_playbook does on A3plus
AI agents call get_playbook to retrieve information from A3plus without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Playbook name from list_playbooks. |
siteId | string | — | Optional: pre-fill the target site. |
projectId | string | — | Optional: pre-fill the target project. |
Parameters from the server's own tool schema.
Why get_playbook is rated Low
Even though get_playbook only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_playbook safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A3plus, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_playbook, this is the rule to start with:
get_playbook is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect A3plus, apply this rule, and every get_playbook call is checked against it from then on.
Questions about get_playbook
Fetch one playbook's full step-by-step operating procedure by name (see list_playbooks). Follow the returned steps in order, using the exact tools it names, and report progress to the user in their language. It is categorised as a Read tool in the A3plus MCP Server, which means it retrieves data without modifying state.
get_playbook accepts 3 parameters: name, siteId, projectId. Required: name. The full parameter table on this page comes from the server's own tool schema.
Register the A3plus MCP server in PolicyLayer and add a rule for get_playbook: 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 A3plus. Nothing to install.
get_playbook 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 get_playbook 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 get_playbook. 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.
get_playbook is provided by the A3plus MCP server (a3plus-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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