AI agents call get_card to retrieve information from Astrolabe without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve a 'card' (likely a documentation card or metadata object) from the indexed projects. No evidence of data modification, deletion, or external execution. Categorized as Read with low severity due to the read-only nature and limited blast radius of document retrieval.
From the tool's definition Tool named 'get_card' on a documentation search/navigation server; sibling tools include 'read_doc', 'search_docs', 'list_docs', and 'get_doc_types', all retrieval operations.
Attacks that exploit this kind of access
get_card. It is categorised as a Read tool in the Astrolabe MCP Server, which means it retrieves data without modifying state.
Register the Astrolabe MCP server in PolicyLayer and add a rule for get_card: 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 Astrolabe. Nothing to install.
get_card 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_card 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_card. 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_card is provided by the Astrolabe MCP server (zebrr/astrolabe-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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