New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

trace_deploy_failure

A read tool on the Gitlab MCP server.

SERVERGitlab SOURCEdkeeno/gitlab-mcp-server
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dkeeno-gitlab-mcp-server/trace-deploy-failure.md

What trace_deploy_failure does on Gitlab

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

Why trace_deploy_failure is rated Low

The name suggests a read/diagnostic operation (tracing a failure implies fetching logs, stack traces, or pipeline output). However, the empty description lowers confidence significantly. Given the sibling tools context (CI/CD, pipelines, runners), this is most likely a Read operation that queries deployment failure details.

From the tool's definition Tool name 'trace_deploy_failure' suggests retrieving/reading deployment failure logs or trace information. Description is empty and uninformative.

Questions about trace_deploy_failure

What does the trace_deploy_failure tool do? +

trace_deploy_failure is a read tool on the Gitlab MCP server. It is categorised as a Read tool in the Gitlab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on trace_deploy_failure? +

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

What risk level is trace_deploy_failure? +

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

Can I rate-limit trace_deploy_failure? +

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

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

trace_deploy_failure is provided by the Gitlab MCP server (dkeeno/gitlab-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Gitlab, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Gitlab's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.