Analyze employee performance based on budget adherence per project. Compares actual hours logged vs user budget allocations, identifies top performers (under budget), and flags repeat offenders (consistently over budget). Use this for performance reviews, capacity planning, and identifying traini...
AI agents call harvest_compute_budget_performance to retrieve information from Harvest MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and analyzes existing time tracking data to compute performance metrics. It compares logged hours against budget allocations without creating, modifying, or deleting any data. It is purely a read/query/analytical operation.
From the tool's definition Analyze employee performance based on budget adherence per project. Compares actual hours logged vs user budget allocations, identifies top performers (under budget), and flags repeat offenders (consistently over budget).
Documented attack patterns abuse exactly the kind of access harvest_compute_budget_performance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Harvest MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for harvest_compute_budget_performance:
{
"version": "1",
"default": "deny",
"tools": {
"harvest_compute_budget_performance": {}
}
} harvest_compute_budget_performance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze employee performance based on budget adherence per project. Compares actual hours logged vs user budget allocations, identifies top performers (under budget), and flags repeat offenders (consistently over budget). Use this for performance reviews, capacity planning, and identifying training needs. It is categorised as a Read tool in the Harvest MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Harvest MCP Server MCP server in PolicyLayer and add a rule for harvest_compute_budget_performance: 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 Harvest MCP Server. Nothing to install.
harvest_compute_budget_performance 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 harvest_compute_budget_performance 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 harvest_compute_budget_performance. 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.
harvest_compute_budget_performance is provided by the Harvest MCP Server MCP server (southleft/harvest-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Harvest 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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21 Harvest MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.