inspect_hook_candidate

THE RISK

Low Risk

Why inspect_hook_candidate needs a policy

This tool performs inspection and summarization of hook candidate data—a read-only analytical operation. It gathers information and generates analysis summaries without creating, modifying, deleting, or executing any operations. The output is informational and used to inform subsequent decisions (via 'draft' suggestions), but the tool itself does not perform those actions.

From the tool's definition The tool is described as 'Summarize one dynamic candidate into short hits, short context, jadx-ai-mcp hints, and draft add_custom_hooks suggestions.' The verb 'summarize' and the outputs listed (short hits, context, hints, suggestions) indicate the tool…

Documented attack patterns abuse exactly the kind of access inspect_hook_candidate gives an agent:

POLICY

How to control inspect_hook_candidate

PolicyLayer is an MCP gateway — it sits between your AI agents and Algorithmaide, and nothing reaches the server without passing your rules. This is the rule we recommend for inspect_hook_candidate:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "inspect_hook_candidate": {}
  }
}

inspect_hook_candidate is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Algorithmaide — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Algorithmaide tools

Destructive reset_target_config Reset the target config to an empty template and apply it through the verified workflow. Execute run_verified_workflow Run the minimal verified loop: stop apps, write state, start AlgorithmAide, sync LSPosed, Execute inject_frida_script Enable one Frida script for a target package and sync config, AppSwitch, and LSPosed in on Execute add_custom_hooks Add or replace custom hook entries, then sync config, AppSwitch, LSPosed, and optionally r Execute add_r0capture_hooks Generate the built-in r0capture-style network hooks and apply them with the verified workf Execute apply_hook_profile Load a saved profile and apply it with the verified workflow. Write sync_appswitch_state Sync AppSwitch.json and logList.json, then verify both storage layers. Write sync_lsposed_scope Sync the LSPosed scope for AlgorithmAide and return the readback.

All 23 Algorithmaide tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about inspect_hook_candidate

What does the inspect_hook_candidate tool do? +

Summarize one dynamic candidate into short hits, short context, jadx-ai-mcp hints, and draft add_custom_hooks suggestions. It is categorised as a Read tool in the Algorithmaide MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on inspect_hook_candidate? +

Register the Algorithmaide MCP server in PolicyLayer and add a rule for inspect_hook_candidate: 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 Algorithmaide. Nothing to install.

What risk level is inspect_hook_candidate? +

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

Can I rate-limit inspect_hook_candidate? +

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

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

inspect_hook_candidate is provided by the Algorithmaide MCP server (vwww-droid/algorithmaide-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Algorithmaide tool call.

Start from Algorithmaide, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →