Low Risk

analyze_dependencies

Analyze a PACKAGE MANAGER manifest file (NOT infrastructure code) for supply-chain risks, version pinning issues, typosquatting indicators, and dependency hygiene. ONLY accepts: package.json, requirements.txt, Cargo.toml, go.mod, pom.xml, .csproj. Do NOT use this for Bicep, Terraform, ARM templat...

Part of the Judges Panel server.

analyze_dependencies 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 analyze_dependencies to retrieve information from Judges Panel 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 analyze_dependencies 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": {
    "analyze_dependencies": {}
  }
}

See the full Judges Panel policy for all 78 tools.

Get this rule live on your own Judges Panel 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 analyze_dependencies 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 analyze_dependencies 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 analyze_dependencies tool do? +

Analyze a PACKAGE MANAGER manifest file (NOT infrastructure code) for supply-chain risks, version pinning issues, typosquatting indicators, and dependency hygiene. ONLY accepts: package.json, requirements.txt, Cargo.toml, go.mod, pom.xml, .csproj. Do NOT use this for Bicep, Terraform, ARM templates, CloudFormation, Dockerfiles, or any other infrastructure/deployment configuration — use evaluate_code or evaluate_code_single_judge for those.. It is categorised as a Read tool in the Judges Panel MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_dependencies? +

Register the Judges Panel MCP server in PolicyLayer and add a rule for analyze_dependencies: 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 Judges Panel. Nothing to install.

What risk level is analyze_dependencies? +

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

Can I rate-limit analyze_dependencies? +

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

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

analyze_dependencies is provided by the Judges Panel MCP server (@kevinrabun/judges). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Judges Panel tool call.

Deterministic rules across all 78 Judges Panel tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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