rse_policy_builder
Architecte de politique RSE — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: TechCorp SAS — Politique RSE 2025-2028 (500 FTE, €60M CA, SaaS B2B France). Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/rse-policy-builder.md
What rse_policy_builder does on Mcp Knowledge
AI agents use rse_policy_builder 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.
| 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 | — | |
values | array | Yes | |
company | object | Yes | |
ambitions | string | Yes | |
targetLabels | array | — | |
currentInitiatives | array | — | |
targetStakeholders | array | Yes |
Parameters from the server's own tool schema.
Why rse_policy_builder is rated Medium
This tool generates RSE (corporate social responsibility) policies—a reversible creation of policy documentation. It does not execute external code or commands, delete data, move money, or irreversibly modify systems. The 'audited deliverable' language and structured output indicate content generation (Write category).
From the tool's definition 'Architecte de politique RSE' and 'Returns a structured, audited deliverable' indicate the tool creates or generates policy documents. 'Gapup agent-payable C-suite expertise' suggests it produces new structured outputs (policies).
Risk signalsHigh parameter count (14 properties)
Attacks that exploit this kind of access
The rule that runs rse_policy_builder 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 rse_policy_builder, this is the rule to start with:
rse_policy_builder stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 rse_policy_builder call is checked against it from then on.
Questions about rse_policy_builder
Architecte de politique RSE — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: TechCorp SAS — Politique RSE 2025-2028 (500 FTE, €60M CA, SaaS B2B France). 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.
rse_policy_builder accepts 8 parameters: async, focus, values, company, ambitions, targetLabels, currentInitiatives, targetStakeholders. Required: values, company, ambitions, targetStakeholders. 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 rse_policy_builder: 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.
rse_policy_builder is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the rse_policy_builder 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 rse_policy_builder. 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.
rse_policy_builder 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.
This server
Across the catalogue