margin_doctor_finance
Médecin des Marges — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Alan — ARR €60M · marge brute 68% → 79% · €3,2M fuites identifiées · Rule of 40 : 14→38. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/margin-doctor-finance.md
What margin_doctor_finance does on Mcp Knowledge
AI agents call margin_doctor_finance to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| 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 | |
costBreakdown | array | Yes | |
marginTargets | object | Yes | |
unitEconomics | object | Yes | |
incomeStatement | object | Yes |
Parameters from the server's own tool schema.
Why margin_doctor_finance is rated Low
The tool describes a financial advisory/analysis function (CFO-level margin analysis, leak identification, Rule of 40 scoring). It returns a structured deliverable based on input case fields — this is analytical output, not a financial transaction, payment, or trade execution. However, given it operates in a financial context and could influence major business decisions, severity is medium.
From the tool's definition 'Returns a structured, audited deliverable' and 'C-suite expertise (CFO)' — the tool appears to perform financial analysis and diagnosis (margin improvement, Rule of 40 assessment), not to move money or execute transactions.
Risk signalsHigh parameter count (33 properties)
Attacks that exploit this kind of access
The rule that runs margin_doctor_finance 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 margin_doctor_finance, this is the rule to start with:
margin_doctor_finance is read-only, so it stays allowed. 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 margin_doctor_finance call is checked against it from then on.
Questions about margin_doctor_finance
Médecin des Marges — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Alan — ARR €60M · marge brute 68% → 79% · €3,2M fuites identifiées · Rule of 40 : 14→38. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
margin_doctor_finance accepts 6 parameters: async, company, costBreakdown, marginTargets, unitEconomics, incomeStatement. Required: company, costBreakdown, marginTargets, unitEconomics, incomeStatement. 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 margin_doctor_finance: 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.
margin_doctor_finance is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the margin_doctor_finance 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 margin_doctor_finance. 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.
margin_doctor_finance 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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