parallel_sort_large_file
Sort large log files using parallel processing with chunked approach.
This record as markdown: /tools/io-github-iowarp-adios-mcp/parallel-sort-large-file.md
What parallel_sort_large_file does on CLIO Adios
AI agents invoke parallel_sort_large_file to trigger actions in CLIO Adios. 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.
Why parallel_sort_large_file is rated High
This tool executes a parallel processing operation on log files. It runs computational processes (parallel sorting with chunked approach) which constitutes execution of operations rather than simple reads. While it appears to read and reorder data, parallel processing with chunked approaches typically involves writing intermediate or output files.
From the tool's definition Sort large log files using parallel processing with chunked approach
Attacks that exploit this kind of access
The rule that runs parallel_sort_large_file 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 parallel_sort_large_file, this is the rule to start with:
parallel_sort_large_file 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.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every parallel_sort_large_file call is checked against it from then on.
Questions about parallel_sort_large_file
Sort large log files using parallel processing with chunked approach. It is categorised as a Execute tool in the CLIO Adios MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for parallel_sort_large_file: 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.
parallel_sort_large_file 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 parallel_sort_large_file 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 parallel_sort_large_file. 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.
parallel_sort_large_file 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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