save_plays

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Medium RISK CLASS

Category Write

Parameters 43 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/save-plays.md

WHAT IT DOES

What save_plays does on Gapup Mcp

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

Parameter	Type	Required	Description
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`account`	object	Yes
`company`	object	Yes
`product`	object	Yes

Parameters from the server's own tool schema.

RISK

Why save_plays is rated Medium

save_plays produces advisory deliverables that, while not directly destructive or financial, establish binding commitments and action plans (concessions, scripts) that modify customer relationships and business obligations. This is a Write-category tool because it creates structured, audited business documents with downstream operational effects.

From the tool's definition Tool creates and returns 'structured, audited deliverable' plans that include 'Script 6 actions' and 'concessions' — these are modifications to business strategy and customer engagement approach.

Risk signalsHigh parameter count (13 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs save_plays safely

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

save_plays Rate-limited

save_plays 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": {
    "save_plays": {
      "limits": [
        {
          "counter": "save_plays_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 Gapup Mcp, apply this rule, and every save_plays call is checked against it from then on.

FAQ

Questions about save_plays

What does the save_plays tool do? +

Plans de sauvetage clients — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Kyriba — Plan sauvetage 30j · ARR €11.988 · Champion parti · Script 6 actions · 3 concessions. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does save_plays accept? +

save_plays accepts 4 parameters: async, account, company, product. Required: account, company, product. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on save_plays? +

Register the Gapup MCP server in PolicyLayer and add a rule for save_plays: 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 Gapup Mcp. Nothing to install.

What risk level is save_plays? +

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

Can I rate-limit save_plays? +

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

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

save_plays is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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