Low Risk

get_recent_updates

Doenças cujo gêmeo digital ganhou evidência nova (autoria, PubTator3, Open Targets, verificação) nos últimos N dias. Faça polling para acompanhar mudanças (substituto stateless de subscriptions).

Part of the Raras server.

get_recent_updates 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 get_recent_updates to retrieve information from Raras 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 get_recent_updates 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": {
    "get_recent_updates": {}
  }
}

See the full Raras policy for all 21 tools.

Get this rule live on your own Raras 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 get_recent_updates 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 get_recent_updates 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 get_recent_updates tool do? +

Doenças cujo gêmeo digital ganhou evidência nova (autoria, PubTator3, Open Targets, verificação) nos últimos N dias. Faça polling para acompanhar mudanças (substituto stateless de subscriptions).. It is categorised as a Read tool in the Raras MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_recent_updates? +

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

What risk level is get_recent_updates? +

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

Can I rate-limit get_recent_updates? +

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

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

get_recent_updates is provided by the Raras MCP server (https://raras.org/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Raras tool call.

Deterministic rules across all 21 Raras tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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