generate_career_path

根据用户与目标岗位的技能差距，生成快速补差和项目驱动两条可解释学习路线。生成不等于激活，需通过进度工具激活。

SERVERA02 Career Navigation SOURCEa02-career-navigation-mcp

Medium RISK CLASS

Category Write

Parameters 52 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/a02-career-navigation-mcp/generate-career-path.md

WHAT IT DOES

What generate_career_path does on A02 Career Navigation

AI agents use generate_career_path to create or update resources in A02 Career Navigation, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A02 Career Navigation environment.

Parameter	Type	Required
`user_id`	string	Yes
`priority`	string	—
`weekly_hours`	integer	—
`horizon_years`	integer	—
`target_role_id`	string	Yes

Parameters from the server's own tool schema.

RISK

Why generate_career_path is rated Medium

An AI agent can call generate_career_path faster than any human can review: one bad instruction and it creates or modifies resources in A02 Career Navigation by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs generate_career_path safely

PolicyLayer is an MCP gateway: it sits between your AI agents and A02 Career Navigation, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_career_path, this is the rule to start with:

generate_career_path Rate-limited

generate_career_path 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_career_path": {
      "limits": [
        {
          "counter": "generate_career_path_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect A02 Career Navigation, apply this rule, and every generate_career_path call is checked against it from then on.

FAQ

Questions about generate_career_path

What does the generate_career_path tool do? +

根据用户与目标岗位的技能差距，生成快速补差和项目驱动两条可解释学习路线。生成不等于激活，需通过进度工具激活。. It is categorised as a Write tool in the A02 Career Navigation MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does generate_career_path accept? +

generate_career_path accepts 5 parameters: user_id, priority, weekly_hours, horizon_years, target_role_id. Required: user_id, target_role_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on generate_career_path? +

Register the A02 Career Navigation MCP server in PolicyLayer and add a rule for generate_career_path: 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 A02 Career Navigation. Nothing to install.

What risk level is generate_career_path? +

generate_career_path is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_career_path? +

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

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

generate_career_path is provided by the A02 Career Navigation MCP server (a02-career-navigation-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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