sales_pipeline_forecast

Prévision de pipeline commercial — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Doctolib Enterprise — pipeline Q2 2026 · 50 deals enterprise/mid-market · forecast confidence par deal + commit/best-case/worst-case. Inputs are validated ser...

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Low RISK CLASS
Category Read
Parameters 52 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/sales-pipeline-forecast.md

What sales_pipeline_forecast does on Gapup Mcp

AI agents call sales_pipeline_forecast to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
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
focus string
company object Yes
pipeline object Yes
historicalConversionByStage array

Parameters from the server's own tool schema.

Why sales_pipeline_forecast is rated Low

The tool appears to generate a sales pipeline forecast report — a read/analytical operation that queries and returns structured forecast data. It does not appear to move money, delete data, or execute code. However, the server description notes 'x402 per-call' (pay-per-use micropayments), which introduces a minor financial dimension per invocation.

From the tool's definition Prévision de pipeline commercial — Returns a structured, audited deliverable. Reference case: pipeline Q2 2026 · 50 deals enterprise/mid-market · forecast confidence par deal + commit/best-case/worst-case.

Risk signalsHigh parameter count (29 properties)

Questions about sales_pipeline_forecast

What does the sales_pipeline_forecast tool do? +

Prévision de pipeline commercial — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Doctolib Enterprise — pipeline Q2 2026 · 50 deals enterprise/mid-market · forecast confidence par deal + commit/best-case/worst-case. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does sales_pipeline_forecast accept? +

sales_pipeline_forecast accepts 5 parameters: async, focus, company, pipeline, historicalConversionByStage. Required: company, pipeline. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on sales_pipeline_forecast? +

Register the Gapup MCP server in PolicyLayer and add a rule for sales_pipeline_forecast: 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.

What risk level is sales_pipeline_forecast? +

sales_pipeline_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sales_pipeline_forecast? +

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

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

sales_pipeline_forecast 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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