champion_mapping

Cartographie du champion — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk × Decathlon (deal €120k/an) — Champion identifié : CFO Group · Plan 6 semaines multi-touch. Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 43 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/champion-mapping.md

What champion_mapping does on Mcp Knowledge

AI agents call champion_mapping 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
deal object Yes
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
knownContacts array Yes
sellerContext object Yes

Parameters from the server's own tool schema.

Why champion_mapping is rated Low

The tool appears to perform analysis and return structured deliverables about champion mapping (identifying key stakeholders in sales deals). It reads/analyzes input case fields and returns an audited report. No write, execute, destructive, or financial operations are described. The financial figure (€120k/an) is a reference case example, not a financial transaction.

From the tool's definition 'Cartographie du champion' (champion mapping), 'Returns a structured, audited deliverable', reference to identifying a champion (CFO Group) and a multi-touch plan — this is an analytical/reporting tool that returns structured data

Risk signalsHigh parameter count (16 properties)

Questions about champion_mapping

What does the champion_mapping tool do? +

Cartographie du champion — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk × Decathlon (deal €120k/an) — Champion identifié : CFO Group · Plan 6 semaines multi-touch. 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 champion_mapping accept? +

champion_mapping accepts 4 parameters: deal, async, knownContacts, sellerContext. Required: deal, knownContacts, sellerContext. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on champion_mapping? +

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

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

Can I rate-limit champion_mapping? +

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

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

champion_mapping 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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