Get a behavioral commitment profile for any PyPI (Python) package. Returns real signals: package age, download volume and trend, release consistency, publisher/owner count, and linked GitHub activity. Supply chain attacks target Python packages — LiteLLM (97M downloads/mo) was compromised via sto...
Part of the Commit — Supply Chain Risk Scoring server.
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AI agents call lookup_pypi_package to retrieve information from Commit — Supply Chain Risk Scoring 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 lookup_pypi_package 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.
{
"version": "1",
"default": "deny",
"tools": {
"lookup_pypi_package": {}
}
}See the full Commit — Supply Chain Risk Scoring policy for all 11 tools.
These attack patterns abuse exactly the kind of access lookup_pypi_package gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Get a behavioral commitment profile for any PyPI (Python) package. Returns real signals: package age, download volume and trend, release consistency, publisher/owner count, and linked GitHub activity. Supply chain attacks target Python packages — LiteLLM (97M downloads/mo) was compromised via stolen PyPI token in March 2026. Behavioral signals reveal what star counts hide. Useful for: vetting Python dependencies, identifying abandonware, supply chain risk due diligence. Examples: "langchain", "litellm", "openai", "anthropic", "requests", "fastapi", "pydantic". It is categorised as a Read tool in the Commit — Supply Chain Risk Scoring MCP Server, which means it retrieves data without modifying state.
Register the Commit — Supply Chain Risk Scoring MCP server in PolicyLayer and add a rule for lookup_pypi_package: 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 Commit — Supply Chain Risk Scoring. Nothing to install.
lookup_pypi_package is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the lookup_pypi_package 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.
Set action: deny in the PolicyLayer policy for lookup_pypi_package. 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.
lookup_pypi_package is provided by the Commit — Supply Chain Risk Scoring MCP server (proof-of-commitment). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Commit — Supply Chain Risk Scoring tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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