load_darshan_log

Load and parse a Darshan log file to extract I/O performance metrics and metadata.

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/load-darshan-log.md

WHAT IT DOES

What load_darshan_log does on CLIO Adios

AI agents call load_darshan_log 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 load_darshan_log is rated Low

This tool retrieves and analyzes data from log files without creating, modifying, deleting, or executing external operations. It is purely a read operation that queries and processes existing scientific data artifacts. The context (CLIO Adios server for scientific data analysis) reinforces this as a data access tool typical in HPC analysis workflows.

From the tool's definition Tool performs 'Load and parse' operations on existing Darshan log files, extracting 'I/O performance metrics and metadata' without modification or deletion capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

load_darshan_log Allowed

load_darshan_log 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": {
    "load_darshan_log": {}
  }
}

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 load_darshan_log call is checked against it from then on.

FAQ

Questions about load_darshan_log

What does the load_darshan_log tool do? +

Load and parse a Darshan log file to extract I/O performance metrics and metadata. 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 load_darshan_log? +

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

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

Can I rate-limit load_darshan_log? +

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

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

load_darshan_log 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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