AI agents use update_estimate to create or update resources in Harvest MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Harvest MCP Server environment.
The tool modifies estimate records reversibly (updates, not deletes). While estimates relate to financial commitments, the tool itself only updates estimate details rather than processing actual payments or financial transactions. This is Write-category because it creates/modifies data reversibly.
From the tool's definition Tool name 'update_estimate' indicates modification of estimate data. Context shows this is part of Harvest time tracking API integration where estimates are business/financial documents.
Documented attack patterns abuse exactly the kind of access update_estimate 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 update_estimate:
{
"version": "1",
"default": "deny",
"tools": {
"update_estimate": {
"limits": [
{
"counter": "update_estimate_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_estimate stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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update_estimate. It is categorised as a Write tool in the Harvest MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Harvest MCP Server MCP server in PolicyLayer and add a rule for update_estimate: 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.
update_estimate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_estimate 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 update_estimate. 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.
update_estimate is provided by the Harvest MCP Server MCP server (taiste/harvest-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Harvest MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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21 Harvest MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.