Medium Risk

generate_html_report

Convert a run_eval_contract() LLM Test Runner JSON result into a fully self-contained dark-themed HTML report with Pass/Fail badges, side-by-side Input/Output/Ground-Truth panels, evaluator score bars, and a radar chart. Returns the HTML as a string.

Part of the Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox server.

generate_html_report can modify Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use generate_html_report to create or modify resources in Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_html_report repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_html_report": {
      "limits": [
        {
          "counter": "generate_html_report_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox policy for all 139 tools.

Get this rule live on your own Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox 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 generate_html_report 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 generate_html_report only ever does what you allow.

SECURE IA QA COM/MCP LLM AND RAG TESTING DEV/QA TOOLBOX →

Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_html_report tool do? +

Convert a run_eval_contract() LLM Test Runner JSON result into a fully self-contained dark-themed HTML report with Pass/Fail badges, side-by-side Input/Output/Ground-Truth panels, evaluator score bars, and a radar chart. Returns the HTML as a string.. It is categorised as a Write tool in the Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_html_report? +

Register the Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox MCP server in PolicyLayer and add a rule for generate_html_report: 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 Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox. Nothing to install.

What risk level is generate_html_report? +

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

Can I rate-limit generate_html_report? +

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

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

generate_html_report is provided by the Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox MCP server (ia-qa/api). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox tool call.

Deterministic rules across all 139 Ia Qa Com/mcp llm and RAG testing Dev/QA toolbox tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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