AI agents call get_reservations to retrieve information from Boma MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries reservation data without side effects. It fits the 'Read' category as it only fetches information. Severity is low because it does not alter data, execute code, or have broader system impact—it simply provides visibility into existing reservations.
From the tool's definition Tool name 'get_reservations' and description 'Get all room reservations, optionally filtered by date' indicate data retrieval with no modification.
Attacks that exploit this kind of access
Get all room reservations, optionally filtered by date. It is categorised as a Read tool in the Boma MCP MCP Server, which means it retrieves data without modifying state.
Register the Boma MCP server in PolicyLayer and add a rule for get_reservations: 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 Boma MCP. Nothing to install.
get_reservations 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_reservations 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_reservations. 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_reservations is provided by the Boma MCP server (nicolasvegam/boma-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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