sales_pipeline_forecast

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

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-mcp-knowledge/sales-pipeline-forecast.md

WHAT IT DOES

What sales_pipeline_forecast does on Mcp Knowledge

AI agents call sales_pipeline_forecast 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
`focus`	string	—
`company`	object	Yes
`pipeline`	object	Yes
`historicalConversionByStage`	array	—

Parameters from the server's own tool schema.

RISK

Why sales_pipeline_forecast is rated Low

The tool generates a structured sales pipeline forecast with confidence scores and scenario analysis (commit/best-case/worst-case). This is fundamentally a read/analysis operation that retrieves and synthesizes data into a deliverable. There is no indication it writes, executes, or moves money — it produces a forecast report.

From the tool's definition 'Prévision de pipeline commercial' (sales pipeline forecast), 'Returns a structured, audited deliverable', forecast confidence par deal + commit/best-case/worst-case — analytical/reporting output

Risk signalsHigh parameter count (29 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sales_pipeline_forecast 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 sales_pipeline_forecast, this is the rule to start with:

sales_pipeline_forecast Allowed

sales_pipeline_forecast is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sales_pipeline_forecast": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every sales_pipeline_forecast call is checked against it from then on.

FAQ

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 Mcp Knowledge 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 Mcp Knowledge 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 Mcp Knowledge. 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 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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