plan_gameplay_mechanic

Create a compact, capability-grounded implementation contract for a Portals gameplay mechanic. This does not edit the room. It returns required capabilities, objects, variables, triggers, actions, validation steps, risks, and sources.

Server Portals portals-mcp
Category Read
Risk class Low
Parameters 31 required

What plan_gameplay_mechanic does on Portals

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

ParameterTypeRequiredDescription
mechanic string Yes Gameplay mechanic to plan, for example: locked door, lap counter, stealth detection.
constraints array Optional constraints such as multiplayer, persistent state, no custom assets, or selected item IDs.
max_results integer Maximum grounding matches to include (default: 5).

Parameters from the server's own tool schema.

Why plan_gameplay_mechanic needs a policy

The tool explicitly states it does not edit the room and only returns a plan/contract. It is purely a read/query operation that produces a structured output without any side effects.

From the tool's definition 'This does not edit the room. It returns required capabilities, objects, variables, triggers, actions, validation steps, risks, and sources.'

Questions about plan_gameplay_mechanic

What does the plan_gameplay_mechanic tool do? +

Create a compact, capability-grounded implementation contract for a Portals gameplay mechanic. This does not edit the room. It returns required capabilities, objects, variables, triggers, actions, validation steps, risks, and sources. It is categorised as a Read tool in the Portals MCP Server, which means it retrieves data without modifying state.

What parameters does plan_gameplay_mechanic accept? +

plan_gameplay_mechanic accepts 3 parameters: mechanic, constraints, max_results. Required: mechanic. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on plan_gameplay_mechanic? +

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

What risk level is plan_gameplay_mechanic? +

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

Can I rate-limit plan_gameplay_mechanic? +

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

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

plan_gameplay_mechanic is provided by the Portals MCP server (portals-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

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.