Low Risk

suggest_fix

Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples).

Part of the GoldenCheck server.

suggest_fix is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call suggest_fix to retrieve information from GoldenCheck without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though suggest_fix only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "suggest_fix": {}
  }
}

See the full GoldenCheck policy for all 31 tools.

Get this rule live on your own GoldenCheck server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access suggest_fix gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so suggest_fix only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the suggest_fix tool do? +

Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affected, before/after samples).. It is categorised as a Read tool in the GoldenCheck MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_fix? +

Register the GoldenCheck MCP server in PolicyLayer and add a rule for suggest_fix: 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 GoldenCheck. Nothing to install.

What risk level is suggest_fix? +

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

Can I rate-limit suggest_fix? +

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

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

suggest_fix is provided by the GoldenCheck MCP server (goldencheck). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GoldenCheck tool call.

Deterministic rules across all 31 GoldenCheck tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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