Low Risk

water_levels

Real-time US river levels — gage height (ft) + streamflow/discharge (ft3/s) from USGS NWIS (keyless). Use for "how high / how fast is river X right now", flood risk (rising gage) or drought (low flow). Provide a 2-letter US state, USGS site number(s) comma-separated, or neither for major rivers. ...

Part of the Dynamic Feed server.

water_levels 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 water_levels to retrieve information from Dynamic Feed 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 water_levels 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": {
    "water_levels": {}
  }
}

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

Real-time US river levels — gage height (ft) + streamflow/discharge (ft3/s) from USGS NWIS (keyless). Use for "how high / how fast is river X right now", flood risk (rising gage) or drought (low flow). Provide a 2-letter US state, USGS site number(s) comma-separated, or neither for major rivers. Args: state: 2-letter US state code (e.g. TX, CA). site: USGS site number(s), comma-separated. limit: max sites.. It is categorised as a Read tool in the Dynamic Feed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on water_levels? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for water_levels: 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 Dynamic Feed. Nothing to install.

What risk level is water_levels? +

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

Can I rate-limit water_levels? +

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

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

water_levels is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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