Low Risk

debugger_inspect_object

Inspect an object by its object reference, returning properties with values. Handles nested objects and arrays up to a specified depth.

Part of the Mcp Debugger server.

debugger_inspect_object 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 debugger_inspect_object to retrieve information from Mcp Debugger 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 debugger_inspect_object 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": {
    "debugger_inspect_object": {}
  }
}

See the full Mcp Debugger policy for all 29 tools.

Get this rule live on your own Mcp Debugger 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 debugger_inspect_object 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 debugger_inspect_object 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 debugger_inspect_object tool do? +

Inspect an object by its object reference, returning properties with values. Handles nested objects and arrays up to a specified depth.. It is categorised as a Read tool in the Mcp Debugger MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on debugger_inspect_object? +

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

What risk level is debugger_inspect_object? +

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

Can I rate-limit debugger_inspect_object? +

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

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

debugger_inspect_object is provided by the Mcp Debugger MCP server (@ai-capabilities-suite/mcp-debugger-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Debugger tool call.

Deterministic rules across all 29 Mcp Debugger tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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