apply_filter_preset

Apply predefined filter presets like

SERVERCLIO Adios SOURCEpypi:clio-kit

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/apply-filter-preset.md

WHAT IT DOES

What apply_filter_preset does on CLIO Adios

AI agents use apply_filter_preset to create or update resources in CLIO Adios, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CLIO Adios environment.

RISK

Why apply_filter_preset is rated Medium

The tool performs a state-modifying operation by applying presets, which constitutes a Write action. It is not Read (no mere retrieval), not Execute (not running arbitrary code/commands), not Destructive (presets are typically reversible), and not Financial. Severity is medium because misapplication of filters could cause incorrect scientific analysis results, but effects are generally reversible.

From the tool's definition Tool name 'apply_filter_preset' suggests applying or modifying state through preset configurations. The description is incomplete ('like' with no continuation), but the verb 'apply' combined with 'filter presets' typically indicates modifying analysis…

Attacks that exploit this kind of access

RECOMMENDED RULE

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

apply_filter_preset Rate-limited

apply_filter_preset stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_filter_preset": {
      "limits": [
        {
          "counter": "apply_filter_preset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about apply_filter_preset

What does the apply_filter_preset tool do? +

Apply predefined filter presets like. It is categorised as a Write tool in the CLIO Adios MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apply_filter_preset? +

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

apply_filter_preset is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit apply_filter_preset? +

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

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

apply_filter_preset 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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