AI agents call get-assignment-history to retrieve information from AL Object ID Ninja MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical assignment records for object IDs in the AL Object ID management system. Reading history logs poses minimal risk—it does not create, modify, delete, execute arbitrary operations, or commit financial obligations. The blast radius of misuse is confined to information disclosure of internal allocation patterns, which is low severity.
From the tool's definition Tool name 'get-assignment-history' and description 'Get assignment history' indicate a retrieval operation with no modification of data. The verb 'get' is a standard read operation that queries historical records without side effects.
Documented attack patterns abuse exactly the kind of access get-assignment-history gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AL Object ID Ninja MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get-assignment-history:
{
"version": "1",
"default": "deny",
"tools": {
"get-assignment-history": {}
}
} get-assignment-history is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get assignment history. It is categorised as a Read tool in the AL Object ID Ninja MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AL Object ID Ninja MCP Server MCP server in PolicyLayer and add a rule for get-assignment-history: 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 AL Object ID Ninja MCP Server. Nothing to install.
get-assignment-history 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-assignment-history 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-assignment-history. 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-assignment-history is provided by the AL Object ID Ninja MCP Server MCP server (sshadows/al-objid-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AL Object ID Ninja MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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26 AL Object ID Ninja MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.