Update a consulting engagement (status, dates, rates, etc.).
Part of the Businys server.
Free to start. No card required.
AI agents use update_engagement to create or modify resources in Businys. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call update_engagement repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Businys.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"update_engagement": {
"limits": [
{
"counter": "update_engagement_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Businys policy for all 248 tools.
These attack patterns abuse exactly the kind of access update_engagement gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Update a consulting engagement (status, dates, rates, etc.).. It is categorised as a Write tool in the Businys MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Businys MCP server in PolicyLayer and add a rule for update_engagement: 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 Businys. Nothing to install.
update_engagement 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_engagement 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_engagement. 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_engagement is provided by the Businys MCP server (@businys/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 248 Businys tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.