compare_darshan_logs

Compare two Darshan log files to identify performance differences between runs.

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/compare-darshan-logs.md

WHAT IT DOES

What compare_darshan_logs does on CLIO Adios

AI agents call compare_darshan_logs 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.

RISK

Why compare_darshan_logs is rated Low

This tool retrieves and analyzes log file data to produce comparative performance insights. It has no side effects—it does not modify logs, execute arbitrary code, delete files, or trigger external operations. It falls clearly into the Read category as a diagnostic/analytical tool.

From the tool's definition Tool name 'compare_darshan_logs' and description 'Compare two Darshan log files to identify performance differences between runs' indicate read-only analysis of existing log files.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs compare_darshan_logs 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 compare_darshan_logs, this is the rule to start with:

compare_darshan_logs Allowed

compare_darshan_logs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "compare_darshan_logs": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every compare_darshan_logs call is checked against it from then on.

FAQ

Questions about compare_darshan_logs

What does the compare_darshan_logs tool do? +

Compare two Darshan log files to identify performance differences between runs. 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 compare_darshan_logs? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for compare_darshan_logs: 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 compare_darshan_logs? +

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

Can I rate-limit compare_darshan_logs? +

Yes. Add a rate_limit block to the compare_darshan_logs 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 compare_darshan_logs completely? +

Set action: deny in the PolicyLayer policy for compare_darshan_logs. 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 compare_darshan_logs? +

compare_darshan_logs 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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