compute_trace_statistics

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/compute-trace-statistics.md

WHAT IT DOES

What compute_trace_statistics does on CLIO Adios

AI agents call compute_trace_statistics 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 compute_trace_statistics is rated Low

Given the context of a scientific data analysis server (CLIO Adios using ADIOS2), 'compute_trace_statistics' most likely performs read-only statistical analysis on existing trace/log data. The pattern of sibling tools being analytical functions supports this interpretation. No evidence suggests data modification, code execution, or deletion.

From the tool's definition Tool name 'compute_trace_statistics' indicates statistical computation on trace data. Empty description limits direct evidence, but the name suggests analysis/computation rather than modification or deletion.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

compute_trace_statistics Allowed

compute_trace_statistics 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": {
    "compute_trace_statistics": {}
  }
}

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 compute_trace_statistics call is checked against it from then on.

FAQ

Questions about compute_trace_statistics

What does the compute_trace_statistics tool do? +

compute_trace_statistics 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 compute_trace_statistics? +

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

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

Can I rate-limit compute_trace_statistics? +

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

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

compute_trace_statistics 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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