This record as markdown: /tools/io-github-iowarp-adios-mcp/module-savelist.md
What module_savelist does on CLIO Adios
AI agents call module_savelist 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 module_savelist is rated Low
This tool performs a simple list/query operation to retrieve information about saved module collections. It has no side effects, does not modify or delete data, and does not execute code or trigger external operations. It is a classic Read operation with minimal risk.
From the tool's definition Tool name 'module_savelist' and description 'List all saved module collections' indicate a retrieval operation that queries existing module data without modification, deletion, or execution.
Attacks that exploit this kind of access
The rule that runs module_savelist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For module_savelist, this is the rule to start with:
module_savelist is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every module_savelist call is checked against it from then on.
Questions about module_savelist
List all saved module collections. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for module_savelist: 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.
module_savelist 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 module_savelist 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 module_savelist. 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.
module_savelist 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.
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