assign_resource

Asigna un recurso a una tarea (lo crea si no existe) y guarda en .xml.

Server Projectlibre osyanne/projectlibre-mcp
Category Write
Risk class Medium
Parameters 00 required

What assign_resource does on Projectlibre

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

Why assign_resource needs a policy

This tool creates resource records (if new) and modifies task-resource relationships, then persists changes to an XML file. These are reversible Write operations—resources and assignments can be unassigned or deleted later. It does not execute arbitrary code, delete data irreversibly, or move money, so Write is the appropriate category.

From the tool's definition Tool description states 'Asigna un recurso a una tarea (lo crea si no existe) y guarda en .xml' (Assigns a resource to a task, creates it if it doesn't exist, and saves to .xml).

Questions about assign_resource

What does the assign_resource tool do? +

Asigna un recurso a una tarea (lo crea si no existe) y guarda en .xml. It is categorised as a Write tool in the Projectlibre MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on assign_resource? +

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

What risk level is assign_resource? +

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

Can I rate-limit assign_resource? +

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

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

assign_resource is provided by the Projectlibre MCP server (osyanne/projectlibre-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

assign_resource is one line of Projectlibre's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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

// GET IN TOUCH

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