Low Risk

get_package_prompt

LLM-optimised package brief — plain text ~300 tokens (~75% cheaper than JSON). Verdict (SAFE/AVOID/URGENT/MALICIOUS) + health + vulns + alternatives + maintainer alerts. USE WHEN: you want to reason over a package and drop the output directly in context; 'is X safe'. PREFER THIS over check_packag...

Part of the Depscope server.

get_package_prompt 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_package_prompt to retrieve information from Depscope 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_package_prompt 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_package_prompt": {}
  }
}

See the full Depscope policy for all 22 tools.

Get this rule live on your own Depscope server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 22 tools →

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

LLM-optimised package brief — plain text ~300 tokens (~75% cheaper than JSON). Verdict (SAFE/AVOID/URGENT/MALICIOUS) + health + vulns + alternatives + maintainer alerts. USE WHEN: you want to reason over a package and drop the output directly in context; 'is X safe'. PREFER THIS over check_package in 95% of LLM cases. RETURNS: plain-text brief.. It is categorised as a Read tool in the Depscope MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_package_prompt? +

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

What risk level is get_package_prompt? +

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

Can I rate-limit get_package_prompt? +

Yes. Add a rate_limit block to the get_package_prompt 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_package_prompt completely? +

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

get_package_prompt is provided by the Depscope MCP server (cuttalosrl/depscope). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Depscope tool call.

Deterministic rules across all 22 Depscope tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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