Single tool 'execute_skill_action' has a minimal description (89 chars) that lacks actionable context. The input schema is present but extremely sparse: only one parameter 'query_payload' with a generic string type and minimal description. No output schema is documented, the tool returns a hardcoded JSON string with no structure definition. The tool name uses a verb but is vague ('execute_skill_action' does not clearly convey what action is executed). No error handling guidance, no parameter constraints, no examples of valid payloads. The implementation is a stub that always returns success, making it unsuitable for production use.

• Expand tool description to 100-200 chars: 'Execute a GenPark deep research skill to build cross-citation graphs from source URLs. Returns a graph structure with nodes, edges, authority scores, and telemetry. Use this to analyze research topics and detect circular references.'
• Document the output schema explicitly: {type: 'object', properties: {graph_id: {type: 'string'}, research_topic: {type: 'string'}, nodes_count: {type: 'integer'}, citation_edges_count: {type: 'integer'}, circular_references_detected: {type: 'boolean'}, authority_weighted_score: {type: 'number'}, primary_consensus_node: {type: 'string'}, evidence_chain_depth: {type: 'integer'}, graph_telemetry_url: {type: 'string'}}}
• Replace 'query_payload' with explicit parameters: 'research_topic' (string, required, e.g. 'State of Humanoid Robotics Actuators 2026') and 'source_urls' (array of strings, required, min 1 item). Add descriptions for each.
• Rename tool to 'build_citation_graph' or 'execute_research_skill' to clarify the actual operation.
• Add error handling: validate that source_urls is non-empty, return actionable errors like 'source_urls cannot be empty. Provide at least one valid URL.' instead of always returning success.