Get token-optimized review context for changed files. Args: changed_files: Comma-separated file paths. include_source: Whether to include source code snippets (default True).
AI agents call get_review_context to retrieve information from Qualixar/superlocalmemory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries contextual information about code changes without modifying, deleting, or executing anything. It takes file paths as input and returns optimized context (with optional source snippets) for review purposes. This is a read-only operation with no side effects, fitting the 'Read' category for data retrieval operations.
From the tool's definition Tool name 'get_review_context' and description 'Get token-optimized review context for changed files' with arguments for file paths and optional source code snippets.
Documented attack patterns abuse exactly the kind of access get_review_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qualixar/superlocalmemory, and nothing reaches the server without passing your rules. This is the rule we recommend for get_review_context:
{
"version": "1",
"default": "deny",
"tools": {
"get_review_context": {}
}
}get_review_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get token-optimized review context for changed files. Args: changed_files: Comma-separated file paths. include_source: Whether to include source code snippets (default True). It is categorised as a Read tool in the Qualixar/superlocalmemory MCP Server, which means it retrieves data without modifying state.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for get_review_context: 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 Qualixar/superlocalmemory. Nothing to install.
get_review_context 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 get_review_context 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 get_review_context. 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.
get_review_context is provided by the Qualixar/superlocalmemory MCP server (qualixar/superlocalmemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Qualixar/superlocalmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
59 Qualixar/superlocalmemory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.