recall_bugfix

Find past bug fixes with similar symptoms. Returns structured fix patterns (symptom/root_cause/fix) ranked by semantic similarity. Call this FIRST when debugging — a past fix may apply.

ServerGraphHub
CategoryRead

How to control recall_bugfix ↓

WHAT IT DOES

What recall_bugfix does on GraphHub

AI agents call recall_bugfix to retrieve information from GraphHub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why recall_bugfix needs a policy

This is a pure read operation that searches and retrieves existing bug fix information to inform debugging decisions. It has no side effects, does not execute code, does not modify data, and does not affect external systems. The blast radius of misuse is minimal — an agent might receive irrelevant or misleading historical fixes, but cannot damage or alter the codebase or system state.

From the tool's definition Tool 'recall_bugfix' returns structured data about past bug fixes ranked by semantic similarity. No modification, deletion, or execution occurs — it only retrieves and queries historical fix patterns from the knowledge graph.

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

POLICY

How to control recall_bugfix

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

policy.json

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

recall_bugfix 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 GraphHub — 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 GraphHub tools

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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 recall_bugfix

What does the recall_bugfix tool do? +

Find past bug fixes with similar symptoms. Returns structured fix patterns (symptom/root_cause/fix) ranked by semantic similarity. Call this FIRST when debugging — a past fix may apply. It is categorised as a Read tool in the GraphHub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recall_bugfix? +

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

What risk level is recall_bugfix? +

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

Can I rate-limit recall_bugfix? +

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

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

recall_bugfix is provided by the GraphHub MCP server (slnquangtran/graph-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GraphHub tool call.

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

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32 GraphHub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.