Low Risk

perception_fetch_tile

Fetch the least-cloudy Sentinel-2 L2A tile covering a given H3 cell from Microsoft Planetary Computer. Returns signed COG band URLs for all 6 Prithvi/Clay spectral bands (B02 Blue, B03 Green, B04 Red, B8A NIR, B11 SWIR1, B12 SWIR2), plus tile metadata. The tile is cached in memory for subsequent ...

Part of the Mcp Agentcore server.

perception_fetch_tile 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 perception_fetch_tile to retrieve information from Mcp Agentcore 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 perception_fetch_tile 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": {
    "perception_fetch_tile": {}
  }
}

See the full Mcp Agentcore policy for all 8 tools.

Get this rule live on your own Mcp Agentcore 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 perception_fetch_tile 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 perception_fetch_tile 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 perception_fetch_tile tool do? +

Fetch the least-cloudy Sentinel-2 L2A tile covering a given H3 cell from Microsoft Planetary Computer. Returns signed COG band URLs for all 6 Prithvi/Clay spectral bands (B02 Blue, B03 Green, B04 Red, B8A NIR, B11 SWIR1, B12 SWIR2), plus tile metadata. The tile is cached in memory for subsequent perception_classify or perception_embed calls.. It is categorised as a Read tool in the Mcp Agentcore MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on perception_fetch_tile? +

Register the Mcp Agentcore MCP server in PolicyLayer and add a rule for perception_fetch_tile: 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 Mcp Agentcore. Nothing to install.

What risk level is perception_fetch_tile? +

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

Can I rate-limit perception_fetch_tile? +

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

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

perception_fetch_tile is provided by the Mcp Agentcore MCP server (https://packagesmcp-perception-production.up.railway.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Agentcore tool call.

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