suggest_context_updates

Analyzes a repository for changes that may require AI context file updates. Returns a list of specific recommendations.

Server RepoMemory praveenjayaprakash-jp/repomemory
Category Read
Risk class Low
Parameters 00 required

What suggest_context_updates does on RepoMemory

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

Why suggest_context_updates needs a policy

suggest_context_updates is a read-only analysis tool that scans repository state and provides recommendations as output. It has no write, delete, execute, or financial side effects. The worst outcome of misuse is receiving incorrect or useless recommendations, which cannot damage systems or data. Classified as Read with low severity.

From the tool's definition Tool 'analyzes a repository for changes' and 'returns a list of specific recommendations' — it performs analysis and retrieval without modifying repository data, context files, or triggering external operations.

Questions about suggest_context_updates

What does the suggest_context_updates tool do? +

Analyzes a repository for changes that may require AI context file updates. Returns a list of specific recommendations. It is categorised as a Read tool in the RepoMemory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_context_updates? +

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

What risk level is suggest_context_updates? +

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

Can I rate-limit suggest_context_updates? +

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

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

suggest_context_updates is provided by the RepoMemory MCP server (praveenjayaprakash-jp/repomemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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