Low Risk

check_capability_gap

Analyze a task the agent cannot complete and suggest skills that would fill the gap. Returns a JSON array of 5 recommended skills ranked by relevance to the task, each with slug, name, description, quality_score, and install_command. Use this when you encounter a task that requires capabilities y...

Part of the Loaditout server.

check_capability_gap 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 check_capability_gap to retrieve information from Loaditout 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 check_capability_gap 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": {
    "check_capability_gap": {}
  }
}

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These attack patterns abuse exactly the kind of access check_capability_gap 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 check_capability_gap 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 check_capability_gap tool do? +

Analyze a task the agent cannot complete and suggest skills that would fill the gap. Returns a JSON array of 5 recommended skills ranked by relevance to the task, each with slug, name, description, quality_score, and install_command. Use this when you encounter a task that requires capabilities you do not have (e.g., database access, browser automation, file conversion). Do not use this for general browsing (use list_categories instead) or when you already know what skill you need (use search_skills instead).. It is categorised as a Read tool in the Loaditout MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_capability_gap? +

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

What risk level is check_capability_gap? +

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

Can I rate-limit check_capability_gap? +

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

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

check_capability_gap is provided by the Loaditout MCP server (loaditout-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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