Low Risk

compare_gear

Compare 2-3 gear items side-by-side with specs, pros/cons, verdicts, and comparison summary. Supports lookup by unique_id with slug fallback. Use search_gear first if the user hasn't named specific products. Args: gear_ids: List of 2-3 gear item identifiers (unique_id or slug)

Part of the Outdoorithm server.

compare_gear 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 compare_gear to retrieve information from Outdoorithm 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 compare_gear 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": {
    "compare_gear": {}
  }
}

See the full Outdoorithm policy for all 18 tools.

Get this rule live on your own Outdoorithm 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 compare_gear 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 compare_gear 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 compare_gear tool do? +

Compare 2-3 gear items side-by-side with specs, pros/cons, verdicts, and comparison summary. Supports lookup by unique_id with slug fallback. Use search_gear first if the user hasn't named specific products. Args: gear_ids: List of 2-3 gear item identifiers (unique_id or slug). It is categorised as a Read tool in the Outdoorithm MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on compare_gear? +

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

What risk level is compare_gear? +

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

Can I rate-limit compare_gear? +

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

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

compare_gear is provided by the Outdoorithm MCP server (https://mcp.outdoorithm.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Outdoorithm tool call.

Deterministic rules across all 18 Outdoorithm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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