Medium Risk

oss_dependency_velocity_tracker

As a CTO, track the update velocity of your project's open-source dependencies to assess their impact on DORA metrics like deployment frequency and lead time. This tool fetches release history and version adoption data from npm registry and libraries.io, providing insights into dependency freshne...

Part of the Gapup Mcp server.

oss_dependency_velocity_tracker can modify Gapup Mcp data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use oss_dependency_velocity_tracker to create or modify resources in Gapup Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call oss_dependency_velocity_tracker repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Gapup Mcp.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "oss_dependency_velocity_tracker": {
      "limits": [
        {
          "counter": "oss_dependency_velocity_tracker_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access oss_dependency_velocity_tracker 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 oss_dependency_velocity_tracker only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the oss_dependency_velocity_tracker tool do? +

As a CTO, track the update velocity of your project's open-source dependencies to assess their impact on DORA metrics like deployment frequency and lead time. This tool fetches release history and version adoption data from npm registry and libraries.io, providing insights into dependency freshness, update frequency, and potential risks. Input a list of package names and optional version ranges to analyze. Outputs structured dependency velocity metrics and warnings about stale or rapidly changing packages.. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on oss_dependency_velocity_tracker? +

Register the Gapup MCP server in PolicyLayer and add a rule for oss_dependency_velocity_tracker: 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 Gapup Mcp. Nothing to install.

What risk level is oss_dependency_velocity_tracker? +

oss_dependency_velocity_tracker is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit oss_dependency_velocity_tracker? +

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

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

oss_dependency_velocity_tracker is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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