diversity_inclusion_metrics
Métriques diversité & inclusion — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: Cas démo — Métriques diversité & inclusion. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/diversity-inclusion-metrics.md
What diversity_inclusion_metrics does on Mcp Knowledge
AI agents call diversity_inclusion_metrics 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 | |
ambitions | string | Yes | |
currentState | object | Yes | |
regulatoryContext | array | — |
Parameters from the server's own tool schema.
Why diversity_inclusion_metrics is rated Low
The tool appears to retrieve and return structured diversity & inclusion metrics/analysis (read/query operation). It is described as returning an audited deliverable based on validated inputs, consistent with a reporting or data-retrieval function. No write, execute, destructive, or financial actions are indicated.
From the tool's definition 'Métriques diversité & inclusion' — returns 'a structured, audited deliverable'; framed as analytics/metrics retrieval with reference to a demo case
Risk signalsAccepts freeform code/query input (currentState.genderRepresentationPct.exec) · High parameter count (19 properties)
Attacks that exploit this kind of access
The rule that runs diversity_inclusion_metrics 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 diversity_inclusion_metrics, this is the rule to start with:
diversity_inclusion_metrics 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 diversity_inclusion_metrics call is checked against it from then on.
Questions about diversity_inclusion_metrics
Métriques diversité & inclusion — Gapup agent-payable C-suite expertise (SUSTAINABILITY). Returns a structured, audited deliverable. Reference case: Cas démo — Métriques diversité & inclusion. 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.
diversity_inclusion_metrics accepts 6 parameters: async, focus, company, ambitions, currentState, regulatoryContext. Required: company, ambitions, currentState. 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 diversity_inclusion_metrics: 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.
diversity_inclusion_metrics 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 diversity_inclusion_metrics 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 diversity_inclusion_metrics. 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.
diversity_inclusion_metrics 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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