action_plan_esg

Plan d'action ESG — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: TechCorp SAS — Plan ESG 36 mois (500 FTE, €60M CA, score 54→76/100). Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Medium RISK CLASS
Category Write
Parameters 84 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/action-plan-esg.md

What action_plan_esg does on Mcp Knowledge

AI agents use action_plan_esg to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge environment.

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
horizon string Yes
ambitions object Yes
targetLabels array
currentScores object
availableResources object Yes

Parameters from the server's own tool schema.

Why action_plan_esg is rated Medium

This tool produces a structured ESG action plan (a document or report artifact). It creates/generates a deliverable based on input case fields. There is no indication of financial transactions, destructive operations, or code execution. It writes/creates an output artifact (an action plan), making 'Write' the most appropriate category.

From the tool's definition 'Plan d'action ESG' and 'Returns a structured, audited deliverable' — generates a structured ESG action plan document/deliverable

Risk signalsHigh parameter count (23 properties)

Questions about action_plan_esg

What does the action_plan_esg tool do? +

Plan d'action ESG — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: TechCorp SAS — Plan ESG 36 mois (500 FTE, €60M CA, score 54→76/100). Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does action_plan_esg accept? +

action_plan_esg accepts 8 parameters: async, focus, company, horizon, ambitions, targetLabels, currentScores, availableResources. Required: company, horizon, ambitions, availableResources. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on action_plan_esg? +

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

action_plan_esg is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit action_plan_esg? +

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

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

action_plan_esg 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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