upsert_project_target_preference

SERVERHuly SOURCE@firfi/huly-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dearlordylord-huly-mcp/upsert-project-target-preference.md

WHAT IT DOES

What upsert_project_target_preference does on Huly

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

RISK

Why upsert_project_target_preference is rated Medium

This tool creates or updates project preference records. While it can modify system configuration (which could affect project behavior), the changes are reversible and do not permanently delete data or move financial resources.

From the tool's definition Tool description states 'Create or update the low-level ProjectTargetPreference record' and 'merges SDK-open target preference props by key'.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs upsert_project_target_preference safely

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

upsert_project_target_preference Rate-limited

upsert_project_target_preference 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": {
    "upsert_project_target_preference": {
      "limits": [
        {
          "counter": "upsert_project_target_preference_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 Huly, apply this rule, and every upsert_project_target_preference call is checked against it from then on.

FAQ

Questions about upsert_project_target_preference

What does the upsert_project_target_preference tool do? +

Create or update the low-level ProjectTargetPreference record for a project. This refreshes usedOn and merges SDK-open target preference props by key. Use for tracker SDK parity or advanced administration; ordinary project and issue workflows usually do not need this tool. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on upsert_project_target_preference? +

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

What risk level is upsert_project_target_preference? +

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

Can I rate-limit upsert_project_target_preference? +

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

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

upsert_project_target_preference is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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