process_mapping
Mapping des process opérationnels — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Decathlon France — process Retour produit en magasin · 1700 magasins · 200 retours/j/magasin · -30 à -50% temps cible. Inputs are validated server-side — sen...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/process-mapping.md
What process_mapping does on Mcp Knowledge
AI agents call process_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.
| 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 | |
processes | array | Yes | |
presenterScript | array | — |
Parameters from the server's own tool schema.
Why process_mapping is rated Low
The tool appears to perform analysis and return a structured deliverable (a process map/audit document). It reads/analyzes operational process inputs and returns a report without executing code, modifying data, or triggering external operations. The description emphasizes 'returns a structured, audited deliverable' suggesting a read/analysis function.
From the tool's definition Mapping des process opérationnels — Returns a structured, audited deliverable. Reference case: process Retour produit en magasin · -30 à -50% temps cible.
Risk signalsHigh parameter count (21 properties)
Attacks that exploit this kind of access
The rule that runs process_mapping 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 process_mapping, this is the rule to start with:
process_mapping 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 process_mapping call is checked against it from then on.
Questions about process_mapping
Mapping des process opérationnels — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Decathlon France — process Retour produit en magasin · 1700 magasins · 200 retours/j/magasin · -30 à -50% temps cible. 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.
process_mapping accepts 5 parameters: async, focus, company, processes, presenterScript. Required: company, processes. 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 process_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.
process_mapping 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 process_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.
Set action: deny in the PolicyLayer policy for process_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.
process_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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