code_review_depth_optimizer

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Low RISK CLASS

Category Read

Parameters 52 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/code-review-depth-optimizer.md

WHAT IT DOES

What code_review_depth_optimizer does on Gapup Mcp

AI agents call code_review_depth_optimizer to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`teamSize`	number	—	Number of active developers in the team
`repository`	string	Yes	GitHub repository identifier in format owner/repo
`riskTolerance`	string	—	Organization's risk tolerance level
`timeRangeDays`	number	Yes	Number of days of historical data to analyze

Parameters from the server's own tool schema.

RISK

Why code_review_depth_optimizer is rated Low

The tool reads and analyzes existing historical data (DORA metrics, GitHub PR data) and returns recommendations. There are no writes, executions, deletions, or financial operations described. It is purely a read/analytics tool producing advisory output.

From the tool's definition analyzes your team's historical DORA metrics...and GitHub pull request data to recommend an optimal code review depth...receive a structured recommendation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs code_review_depth_optimizer safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For code_review_depth_optimizer, this is the rule to start with:

code_review_depth_optimizer Allowed

code_review_depth_optimizer is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every code_review_depth_optimizer call is checked against it from then on.

FAQ

Questions about code_review_depth_optimizer

What does the code_review_depth_optimizer tool do? +

As a CTO, this tool analyzes your team's historical DORA metrics (deployment frequency, lead time, MTTR, change failure rate) and GitHub pull request data to recommend an optimal code review depth. Input your repository identifier and time range, and receive a structured recommendation on review rigor (light, standard, thorough) with supporting metrics and risk-adjusted rationale. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does code_review_depth_optimizer accept? +

code_review_depth_optimizer accepts 5 parameters: async, teamSize, repository, riskTolerance, timeRangeDays. Required: repository, timeRangeDays. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on code_review_depth_optimizer? +

Register the Gapup MCP server in PolicyLayer and add a rule for code_review_depth_optimizer: 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 Gapup Mcp. Nothing to install.

What risk level is code_review_depth_optimizer? +

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

Can I rate-limit code_review_depth_optimizer? +

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

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

code_review_depth_optimizer is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Gapup, and thousands of servers like it.

This server

All 271 Gapup tools →

Across the catalogue

review_changes on MCP Server PR Pilot → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →