Get the results of a completed or failed calculation task.
AI agents call get_calculation_results to retrieve information from Abacus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves output data from a previously executed calculation. It has no capacity to modify structures, delete data, execute new operations, or commit financial transactions. The blast radius of misuse is minimal—an agent could only access calculation results it already has permission to query. This is a straightforward Read operation.
From the tool's definition Tool name 'get_calculation_results' and description 'Get the results of a completed or failed calculation task' indicate data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_calculation_results gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Abacus, and nothing reaches the server without passing your rules. This is the rule we recommend for get_calculation_results:
{
"version": "1",
"default": "deny",
"tools": {
"get_calculation_results": {}
}
}get_calculation_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the results of a completed or failed calculation task. It is categorised as a Read tool in the Abacus MCP Server, which means it retrieves data without modifying state.
Register the Abacus MCP server in PolicyLayer and add a rule for get_calculation_results: 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 Abacus. Nothing to install.
get_calculation_results 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_calculation_results 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_calculation_results. 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_calculation_results is provided by the Abacus MCP server (phelanshao/abacus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Abacus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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22 Abacus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.