working_capital
Optimiseur du BFR — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Agicap — BFR optimisation · DSO 52→38j · Cash libéré +€2.8M · 3 quick wins immédiats. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/working-capital.md
What working_capital does on Mcp Knowledge
AI agents call working_capital 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 | |
industry | string | — | |
challenges | array | Yes | |
financials | object | Yes | |
topCustomers | array | — | |
topSuppliers | array | — |
Parameters from the server's own tool schema.
Why working_capital is rated Low
The tool appears to analyze working capital (BFR - Besoin en Fonds de Roulement) and return structured financial analysis/recommendations. The description emphasizes 'Returns a structured, audited deliverable' and references optimization metrics (DSO reduction, cash freed), suggesting it reads/analyzes financial data and produces advisory output rather than executing transactions or moving money.
From the tool's definition Optimiseur du BFR — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable.
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs working_capital 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 working_capital, this is the rule to start with:
working_capital 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 working_capital call is checked against it from then on.
Questions about working_capital
Optimiseur du BFR — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Reference case: Agicap — BFR optimisation · DSO 52→38j · Cash libéré +€2.8M · 3 quick wins immédiats. 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.
working_capital accepts 7 parameters: async, company, industry, challenges, financials, topCustomers, topSuppliers. Required: company, challenges, financials. 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 working_capital: 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.
working_capital 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 working_capital 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 working_capital. 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.
working_capital 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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