Recall everything known about an entity — returns all currently-valid relationships where the entity appears as head or tail. Like asking
AI agents call recall to retrieve information from CodeGraph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves stored knowledge about entities without modifying, deleting, or executing any operations. It is purely informational retrieval, fitting the 'Read' category. The blast radius of misuse is minimal—an agent cannot cause harm by recalling information. Severity is low as the worst outcome is information disclosure from the knowledge graph.
From the tool's definition Tool description states 'Recall everything known about an entity — returns all currently-valid relationships'. The verb 'returns' and 'recall' indicate data retrieval with no modification.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access recall gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeGraph, and nothing reaches the server without passing your rules. This is the rule we recommend for recall:
{
"version": "1",
"default": "deny",
"tools": {
"recall": {}
}
} recall is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Recall everything known about an entity — returns all currently-valid relationships where the entity appears as head or tail. Like asking. It is categorised as a Read tool in the CodeGraph MCP Server, which means it retrieves data without modifying state.
Register the CodeGraph MCP server in PolicyLayer and add a rule for recall: 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 CodeGraph. Nothing to install.
recall is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recall 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.
Set action: deny in the PolicyLayer policy for recall. 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.
recall is provided by the CodeGraph MCP server (phoenixrr2113/codebase-graph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeGraph, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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18 CodeGraph tools catalogued and risk-classified — across an index of 43,000+ MCP servers.