renewal_optimizer

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Medium RISK CLASS

Category Write

Parameters 63 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/renewal-optimizer.md

WHAT IT DOES

What renewal_optimizer does on Mcp Knowledge

AI agents use renewal_optimizer to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge 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
`company`	object	Yes
`horizon`	string	—
`product`	object	Yes
`accounts`	array	Yes
`targetRenewalRatePct`	number	—

Parameters from the server's own tool schema.

RISK

Why renewal_optimizer is rated Medium

The tool generates renewal optimization playbooks and structured deliverables for account renewals involving ARR and at-risk accounts. While it references financial figures (€89k ARR), the tool appears to produce advisory/analytical outputs (playbooks, scenarios) rather than directly moving money or committing financial obligations. It writes/creates a structured deliverable.

From the tool's definition Optimiseur de renouvellements — returns a structured, audited deliverable. Reference case: Renewals 10 comptes · €89k ARR à 90j · 3 comptes at-risk · Playbook 6 scénarios.

Risk signalsHigh parameter count (22 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs renewal_optimizer safely

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

renewal_optimizer Rate-limited

renewal_optimizer 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": {
    "renewal_optimizer": {
      "limits": [
        {
          "counter": "renewal_optimizer_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 Mcp Knowledge, apply this rule, and every renewal_optimizer call is checked against it from then on.

FAQ

Questions about renewal_optimizer

What does the renewal_optimizer tool do? +

Optimiseur de renouvellements — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Renewals 10 comptes · €89k ARR à 90j · 3 comptes at-risk · Playbook 6 scénarios. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does renewal_optimizer accept? +

renewal_optimizer accepts 6 parameters: async, company, horizon, product, accounts, targetRenewalRatePct. Required: company, product, accounts. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on renewal_optimizer? +

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

What risk level is renewal_optimizer? +

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

Can I rate-limit renewal_optimizer? +

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

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

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

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