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Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas.
Passed 14 of 20 test cases with the skill, and 9 of 20 without it.
and 6 more in the full report
6 fixed9 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to construct the JSON payload for RUBE_MULTI_EXECUTE_TOOL to call semanticscholar_paper_search with argument query: 'quantum computing' under session sess_12345. What top-level keys must be present?
| Checked | Without skill | With skill |
|---|---|---|
| Includes tools, session_id, and memory as top-level JSON keys. | Missed | Passed |
The instructions your model reads when the skill loads.
Automate Semanticscholar operations through Composio's Semanticscholar toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/semanticscholar
RUBE_MANAGE_CONNECTIONS with toolkit semanticscholarRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit semanticscholarAlways discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "Semanticscholar operations", known_fields: ""}]
session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Semanticscholar task"}]
test cases passed, vs 9 / 20 without
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