[{"name":"Agentic_RL_list_sources","description":"List original papers and retrieval coverage. Discover source-linked comparisons of credit assignment, agent memory, selective observation and terminal benchmarks, with JSON, CSV and BibTeX links.","inputSchema":{"type":"object","properties":{}},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"list_sources"}},{"name":"Agentic_RL_search_evidence","description":"Search original papers on agentic reinforcement learning, credit assignment and CLI agents. Use English keywords (AND), OR and quoted phrases. Return relevant passages, source citations, equations and table cells.","inputSchema":{"type":"object","properties":{"query":{"type":"string","description":""},"limit":{"type":"integer","description":"","default":5}},"required":["query"]},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"search_evidence"}},{"name":"Agentic_RL_fetch_evidence","description":"Fetch a complete original evidence block by the evidence_id returned from search_evidence, including section anchor, version, equations, table cells, links, and attribution.","inputSchema":{"type":"object","properties":{"evidence_id":{"type":"string","description":""}},"required":["evidence_id"]},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"fetch_evidence"}},{"name":"Agentic_RL_dataset_overview","description":"Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.","inputSchema":{"type":"object","properties":{}},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"dataset_overview"}},{"name":"Agentic_RL_search_tasks","description":"Find real ShellOps CLI benchmark tasks by case-insensitive literal substring in the complete instruction, task ID or published task type. Empty query lists all tasks. Select partition 'all', 'shellops' or 'shellops_pro'; select published split 'all', 'train_src', 'train' or 'test'. Results are ordered by partition then task ID, with explicit pagination and no relevance scoring. The train subset is not double-counted.","inputSchema":{"type":"object","properties":{"query":{"type":"string","description":""},"partition":{"type":"string","description":"","default":"all"},"split":{"type":"string","description":"","default":"all"},"limit":{"type":"integer","description":"","default":10},"offset":{"type":"integer","description":""}},"required":["query"]},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"search_tasks"}},{"name":"Agentic_RL_get_task","description":"Inspect one published ShellOps or ShellOps-Pro task by its exact task_id and partition ('shellops' or 'shellops_pro'). Returns the complete instruction, actual reward specification, published reference answer/command, file-entry metadata, pinned parquet rows and workspace asset links. File content is available at the source links. No shell execution or solution verification is performed.","inputSchema":{"type":"object","properties":{"task_id":{"type":"string","description":""},"partition":{"type":"string","description":""}},"required":["task_id","partition"]},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"get_task"}},{"name":"Agentic_RL_list_method_facets","description":"List exact filter values for agent RL credit granularity, supervision, value critics and evaluation settings. Each value reports its source-supported method count.","inputSchema":{"type":"object","properties":{}},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"list_method_facets"}},{"name":"Agentic_RL_filter_methods","description":"Filter agent RL credit-assignment methods by research conditions and return original section evidence and BibTeX. Discover accepted values with list_method_facets. Filters combine with AND; empty strings leave a facet unrestricted. Unknown critic status never matches no. Results use publication order without a relevance or quality ranking.","inputSchema":{"type":"object","properties":{"credit_granularity":{"type":"string","description":""},"required_supervision":{"type":"string","description":""},"learned_value_critic":{"type":"string","description":""},"evaluation_setting":{"type":"string","description":""}}},"meta":{"file_data_present":false,"mcp_type":"tool","endpoint_name":"filter_methods"}}]