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-mcp-knowledge/comp-plan-architect.md
What comp_plan_architect does on Mcp Knowledge
AI agents use comp_plan_architect 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 | |
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 generates and structures compensation plan documentation (commission architecture, OTE bands, budget allocations) that would be adopted by organizations. While it does not execute irreversible deletions or financial transactions directly, it creates consequential business deliverables that establish financial commitments and policy frameworks.
From the tool's definition Tool returns 'structured, audited deliverable' for compensation plan architecture; describes designing commission structures, OTE ranges, and budget allocations—creating formal business plan outputs that modify or establish compensation policies.
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 Mcp Knowledge, 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 Mcp Knowledge, 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 Mcp Knowledge 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 Mcp Knowledge 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 Mcp Knowledge. 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 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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