points_in_polygons

A read tool on the CLIO Adios MCP server.

SERVERCLIO Adios SOURCEpypi:clio-kit
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/points-in-polygons.md

What points_in_polygons does on CLIO Adios

AI agents call points_in_polygons to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why points_in_polygons is rated Low

Even though points_in_polygons only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about points_in_polygons

What does the points_in_polygons tool do? +

points_in_polygons is a read tool on the CLIO Adios MCP server. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on points_in_polygons? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for points_in_polygons: 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 Adios. Nothing to install.

What risk level is points_in_polygons? +

points_in_polygons is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit points_in_polygons? +

Yes. Add a rate_limit block to the points_in_polygons 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.

How do I block points_in_polygons completely? +

Set action: deny in the PolicyLayer policy for points_in_polygons. 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.

What MCP server provides points_in_polygons? +

points_in_polygons is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on CLIO Adios, and thousands of servers like it.

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