Cross-ecosystem vulnerability advisory lookup via OSV.dev. Given an ecosystem (PyPI, npm, Go, crates.io, Maven, NuGet, RubyGems, Packagist, etc) and a package name (optional version), returns advisories affecting that package. License: Apache 2.0.
AI agents call get_osv_advisory_for_package to retrieve information from TensorFeed without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Package name |
version | string | — | Optional package version |
ecosystem | string | Yes | OSV ecosystem identifier (PyPI, npm, Go, crates.io, etc) |
Parameters from the server's own tool schema.
This tool retrieves and queries data (vulnerability information) without side effects. It does not create, modify, delete, or execute code. While the information retrieved may be sensitive, the tool itself performs no destructive or dangerous actions—it is purely informational lookup. Classification as Read is appropriate.
From the tool's definition Tool performs a 'lookup' of existing vulnerability advisories from OSV.dev; the description explicitly states it 'returns advisories' with no capability to modify, delete, or execute actions. It is a read-only query against a public vulnerability database.
Attacks that exploit this kind of access
Cross-ecosystem vulnerability advisory lookup via OSV.dev. Given an ecosystem (PyPI, npm, Go, crates.io, Maven, NuGet, RubyGems, Packagist, etc) and a package name (optional version), returns advisories affecting that package. License: Apache 2.0. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
get_osv_advisory_for_package accepts 3 parameters: name, version, ecosystem. Required: name, ecosystem. The full parameter table on this page comes from the server's own tool schema.
Register the TensorFeed MCP server in PolicyLayer and add a rule for get_osv_advisory_for_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 TensorFeed. Nothing to install.
get_osv_advisory_for_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 get_osv_advisory_for_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 get_osv_advisory_for_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.
get_osv_advisory_for_package is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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