Low Risk

get_amendments

Get the complete amendment history for an Indian act. Returns all footnotes showing substitutions, insertions, omissions, and notes made by amending acts. Filter by section number or amendment type. Each footnote shows the amending act name and original text (if available). Use to trace how a sta...

Part of the Vaquill server.

get_amendments 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_amendments to retrieve information from Vaquill 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_amendments 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_amendments": {}
  }
}

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Get this rule live on your own Vaquill 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_amendments 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_amendments 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_amendments tool do? +

Get the complete amendment history for an Indian act. Returns all footnotes showing substitutions, insertions, omissions, and notes made by amending acts. Filter by section number or amendment type. Each footnote shows the amending act name and original text (if available). Use to trace how a statute evolved. Cost: 1 credit.. It is categorised as a Read tool in the Vaquill MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_amendments? +

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

What risk level is get_amendments? +

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

Can I rate-limit get_amendments? +

Yes. Add a rate_limit block to the get_amendments 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_amendments completely? +

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

get_amendments is provided by the Vaquill MCP server (https://mcp.vaquill.ai/s/_). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vaquill tool call.

Deterministic rules across all 15 Vaquill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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