win_loss_decoder

Analyse Win/Loss deals — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Win/Loss 32 deals Q1 2026 · Win rate 41% → 68% potentiel · Playbook 8 actions CRO. Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 73 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/win-loss-decoder.md

What win_loss_decoder does on Mcp Knowledge

AI agents call win_loss_decoder 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.

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
deals array Yes
company object Yes
product object Yes
topCompetitors array
primaryChallenge string
salesCycleTargetDays number

Parameters from the server's own tool schema.

Why win_loss_decoder is rated Low

The tool performs analysis of deal data and returns a structured report/deliverable. It appears to read and process deal information to generate insights and recommendations (a playbook), with no indication of writing to external systems, executing code, or destructive/financial operations.

From the tool's definition Analyse Win/Loss deals — Returns a structured, audited deliverable. Win rate 41% → 68% potentiel · Playbook 8 actions CRO.

Risk signalsHigh parameter count (20 properties)

Questions about win_loss_decoder

What does the win_loss_decoder tool do? +

Analyse Win/Loss deals — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub — Win/Loss 32 deals Q1 2026 · Win rate 41% → 68% potentiel · Playbook 8 actions CRO. 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 win_loss_decoder accept? +

win_loss_decoder accepts 7 parameters: async, deals, company, product, topCompetitors, primaryChallenge, salesCycleTargetDays. Required: deals, company, product. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on win_loss_decoder? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for win_loss_decoder: 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 win_loss_decoder? +

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

Can I rate-limit win_loss_decoder? +

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

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

win_loss_decoder 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.

More on Mcp Knowledge, and thousands of servers like it.

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