comp_plan_architect
Architecture plan de commissionnement — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Comp Plan 8 rôles commerciaux · OTE €65-280k · Budget comp €2.1M · Quota coverage 3.2×. Inputs are validated server-side — send the documente...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/comp-plan-architect.md
What comp_plan_architect does on Gapup Mcp
AI agents use comp_plan_architect 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 |
company | object | Yes | |
targets | object | Yes | |
geography | string | — | |
salesTeam | object | Yes | |
currentChallenges | array | Yes | |
preferredStructure | string | — |
Parameters from the server's own tool schema.
Why comp_plan_architect is rated Medium
This tool produces and delivers a compensation plan document that, if acted upon, would commit a company to specific salary ranges (€65-280k OTE), total budget allocation (€2.1M), and quota structures. While the tool itself only generates the plan (making it Write rather than Financial), it directly informs financial commitments. It is reversible (plans can be revised/discarded), so not Destructive.
From the tool's definition Tool creates a 'structured, audited deliverable' (compensation plan architecture) based on validated inputs. It generates and returns a new organizational document artifact that modifies compensation policy and financial structure.
Risk signalsHigh parameter count (20 properties)
Attacks that exploit this kind of access
The rule that runs comp_plan_architect 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 comp_plan_architect, this is the rule to start with:
comp_plan_architect 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every comp_plan_architect call is checked against it from then on.
Questions about comp_plan_architect
Architecture plan de commissionnement — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Comp Plan 8 rôles commerciaux · OTE €65-280k · Budget comp €2.1M · Quota coverage 3.2×. 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.
comp_plan_architect accepts 7 parameters: async, company, targets, geography, salesTeam, currentChallenges, preferredStructure. Required: company, targets, salesTeam, currentChallenges. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for comp_plan_architect: 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.
comp_plan_architect is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the comp_plan_architect 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.
Set action: deny in the PolicyLayer policy for comp_plan_architect. 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.
comp_plan_architect 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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