AI agents invoke clio_api_request to trigger actions in Clio. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool name suggests it makes generic API requests to Clio Manage. With no description, the exact behavior is unknown, but a generic API request tool could perform any operation (read, write, delete, financial). Given the sibling tools include destructive operations (delete_contact, delete_matter) and write operations, a generic API request tool likely spans all categories.
From the tool's definition Tool name is 'clio_api_request'; description is empty or uninformative.
Documented attack patterns abuse exactly the kind of access clio_api_request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Clio, and nothing reaches the server without passing your rules. This is the rule we recommend for clio_api_request:
{
"version": "1",
"default": "deny",
"tools": {
"clio_api_request": {
"limits": [
{
"counter": "clio_api_request_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}clio_api_request stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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clio_api_request. It is categorised as a Execute tool in the Clio MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Clio MCP server in PolicyLayer and add a rule for clio_api_request: 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 Clio. Nothing to install.
clio_api_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the clio_api_request 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 clio_api_request. 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.
clio_api_request is provided by the Clio MCP server (lawyered0/clio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Clio, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Clio tools catalogued and risk-classified — across an index of 43,000+ MCP servers.