Fetch a single scheme by numeric ID.
AI agents call read_scheme to retrieve information from Government Scheme MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation to retrieve a single government scheme record by its ID. No data is created, modified, deleted, or executed. The operation is a straightforward read with no side effects, placing it firmly in the Read category with low severity.
From the tool's definition Tool name 'read_scheme' and description 'Fetch a single scheme by numeric ID' indicate retrieval of data without modification or deletion.
Attacks that exploit this kind of access
Fetch a single scheme by numeric ID. It is categorised as a Read tool in the Government Scheme MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Government Scheme MCP Server MCP server in PolicyLayer and add a rule for read_scheme: 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 Government Scheme MCP Server. Nothing to install.
read_scheme 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 read_scheme 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 read_scheme. 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.
read_scheme is provided by the Government Scheme MCP Server MCP server (magicstack-llp/gov-scheme-mcp-py). 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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