update_profile

Update your structured candidate Profile / Job Preferences (string fields only; used by the apply pipeline). Read get_profile first.

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/update-profile.md

WHAT IT DOES

What update_profile does on ProAgentStore

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

RISK

Why update_profile is rated Medium

Modifies candidate profile data reversibly; no destructive or financial impact but affects job application eligibility and visibility.

From the tool's definition Update structured candidate Profile / Job Preferences; string fields only.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_profile safely

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

update_profile Rate-limited

update_profile 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": {
    "update_profile": {
      "limits": [
        {
          "counter": "update_profile_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 ProAgentStore, apply this rule, and every update_profile call is checked against it from then on.

FAQ

Questions about update_profile

What does the update_profile tool do? +

Update your structured candidate Profile / Job Preferences (string fields only; used by the apply pipeline). Read get_profile first. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_profile? +

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

What risk level is update_profile? +

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

Can I rate-limit update_profile? +

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

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

update_profile is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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