Low Risk

optimization_suggest

Get a prioritized, actionable optimization plan. Accepts raw metrics or the output of perf_analyze.

Part of the Api Perf Analyzer server.

optimization_suggest 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 optimization_suggest to retrieve information from Api Perf Analyzer 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 optimization_suggest 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": {
    "optimization_suggest": {}
  }
}

See the full Api Perf Analyzer policy for all 4 tools.

Get this rule live on your own Api Perf Analyzer 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 optimization_suggest 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 optimization_suggest 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 optimization_suggest tool do? +

Get a prioritized, actionable optimization plan. Accepts raw metrics or the output of perf_analyze.. It is categorised as a Read tool in the Api Perf Analyzer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on optimization_suggest? +

Register the Api Perf Analyzer MCP server in PolicyLayer and add a rule for optimization_suggest: 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 Api Perf Analyzer. Nothing to install.

What risk level is optimization_suggest? +

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

Can I rate-limit optimization_suggest? +

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

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

optimization_suggest is provided by the Api Perf Analyzer MCP server (https://api.lazy-mac.com/api-perf-analyzer/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Api Perf Analyzer tool call.

Deterministic rules across all 4 Api Perf Analyzer 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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