Create a PR/branch memory summary from local git diff metadata and write repo-local change memory. Use when a branch is ready to hand off.
AI agents use kage_pr_summarize to create or update resources in Kage — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kage environment.
This tool creates or modifies data (memory summaries stored as git-tracked JSON per the server description) in a reversible manner. It synthesizes git diff metadata into memory records but does not execute arbitrary code, delete data, move funds, or trigger external operations with unpredictable side effects. The write is controlled, intentional, and part of a documented memory capture workflow.
From the tool's definition Tool description states: 'write repo-local change memory' and 'Create a PR/branch memory summary'. The verb 'write' is explicit and the action creates and stores memory records in the codebase.
Documented attack patterns abuse exactly the kind of access kage_pr_summarize gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kage, and nothing reaches the server without passing your rules. This is the rule we recommend for kage_pr_summarize:
{
"version": "1",
"default": "deny",
"tools": {
"kage_pr_summarize": {
"limits": [
{
"counter": "kage_pr_summarize_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} kage_pr_summarize stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Create a PR/branch memory summary from local git diff metadata and write repo-local change memory. Use when a branch is ready to hand off. It is categorised as a Write tool in the Kage MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kage MCP server in PolicyLayer and add a rule for kage_pr_summarize: 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 Kage. Nothing to install.
kage_pr_summarize is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the kage_pr_summarize 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 kage_pr_summarize. 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.
kage_pr_summarize is provided by the Kage MCP server (@kage-core/kage-graph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kage, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
62 Kage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.