Low Risk

get_fix_suggestion

Get MetricSign's Fix-tab recommendation for a specific incident or error code. Returns translated error descriptions and direct links to resolve the issue. This is MetricSign's key differentiator — it tells you not just what broke, but exactly how to fix it, with step-by-step guidance and links d...

Part of the MetricSign server.

get_fix_suggestion 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 get_fix_suggestion to retrieve information from MetricSign 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 get_fix_suggestion 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": {
    "get_fix_suggestion": {}
  }
}

See the full MetricSign policy for all 6 tools.

Get this rule live on your own MetricSign 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 get_fix_suggestion gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_fix_suggestion 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 get_fix_suggestion tool do? +

Get MetricSign's Fix-tab recommendation for a specific incident or error code. Returns translated error descriptions and direct links to resolve the issue. This is MetricSign's key differentiator — it tells you not just what broke, but exactly how to fix it, with step-by-step guidance and links directly into Power BI, Azure Data Factory, or Fabric. Provide either an incident_id (from get_incidents) or a raw Power BI error code.. It is categorised as a Read tool in the MetricSign MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_fix_suggestion? +

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

What risk level is get_fix_suggestion? +

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

Can I rate-limit get_fix_suggestion? +

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

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

get_fix_suggestion is provided by the MetricSign MCP server (wkruithof/metricsign). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MetricSign tool call.

Deterministic rules across all 6 MetricSign tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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