get_policy_bundle
Return active, context-specific engineering policies with exact revision IDs. Call at the beginning of work and before planning a substantial change.
This record as markdown: /tools/dev-futur-panda-laguarde/get-policy-bundle.md
What get_policy_bundle does on Laguarde
AI agents call get_policy_bundle to retrieve information from Laguarde without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_policy_bundle is rated Low
Retrieves policy data without modifying or executing anything; read-only operation.
From the tool's definition Return active policies with exact revision IDs; context-specific retrieval.
Attacks that exploit this kind of access
The rule that runs get_policy_bundle safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Laguarde, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_policy_bundle, this is the rule to start with:
get_policy_bundle 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 Laguarde, apply this rule, and every get_policy_bundle call is checked against it from then on.
Questions about get_policy_bundle
Return active, context-specific engineering policies with exact revision IDs. Call at the beginning of work and before planning a substantial change. It is categorised as a Read tool in the Laguarde MCP Server, which means it retrieves data without modifying state.
Register the Laguarde MCP server in PolicyLayer and add a rule for get_policy_bundle: 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 Laguarde. Nothing to install.
get_policy_bundle 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_policy_bundle 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_policy_bundle. 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_policy_bundle is provided by the Laguarde MCP server (laguarde-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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