sap_skills_bundle
Return bundled SAP MCP skills as JSON so an agent can load or write them itself. Pass skills: ["name1","name2"] to bundle only specific skills (filterNames pattern). Pass includeContents: false to get only file paths without content (metadata-only mode for cheap discovery). Combine both for effic...
This record as markdown: /tools/oobe-protocol-labs-sap-mcp-server/sap-skills-bundle.md
What sap_skills_bundle does on Sap
AI agents use sap_skills_bundle to create or update resources in Sap, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sap environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
skills | array | — | Optional subset of bundled skill names to bundle. When omitted, all bundled skills are returned. Use this to load only the skills you need and avoid context blo |
includeContents | boolean | — | When false, only file paths are returned without file content (metadata-only). When true (default), full file contents are included. Set to false for cheap disc |
Parameters from the server's own tool schema.
Why sap_skills_bundle is rated Medium
An AI agent can call sap_skills_bundle faster than any human can review: one bad instruction and it creates or modifies resources in Sap by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs sap_skills_bundle safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sap, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sap_skills_bundle, this is the rule to start with:
sap_skills_bundle 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 Sap, apply this rule, and every sap_skills_bundle call is checked against it from then on.
Questions about sap_skills_bundle
Return bundled SAP MCP skills as JSON so an agent can load or write them itself. Pass skills: ["name1","name2"] to bundle only specific skills (filterNames pattern). Pass includeContents: false to get only file paths without content (metadata-only mode for cheap discovery). Combine both for efficient loading: skills:["sap-defi"], includeContents:true returns only the sap-defi skill files with full content, avoiding context bloat from unused skills. SAP MCP execution guidance: Intent: agent bootstrap, routing, skills, or repair guidance. Pricing: free; call directly without x402. Routing: free hosted call; call directly and keep it small/exact when possible. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required. It is categorised as a Write tool in the Sap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
sap_skills_bundle accepts 2 parameters: skills, includeContents. The full parameter table on this page comes from the server's own tool schema.
Register the Sap MCP server in PolicyLayer and add a rule for sap_skills_bundle: 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 Sap. Nothing to install.
sap_skills_bundle 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 sap_skills_bundle 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 sap_skills_bundle. 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.
sap_skills_bundle is provided by the Sap MCP server (https://mcp.sap.oobeprotocol.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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