xingce-solver
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_method_cardC | Return a full method card by method_id. |
| search_methodsC | Search method cards in the Xingce knowledge base. |
| classify_questionC | Route a question stem to preliminary modules and method cards. |
| get_source_referenceB | Return source files, pages, confidence, and review flag for a method. |
| solve_data_analysisC | Build a structured data-analysis solving draft, not a final answer. |
| solve_logic_reasoningC | Build a structured logic-reasoning solving draft, not a final answer. |
| get_graphic_reasoning_scaffoldA | Return the read-only method scaffold for graphic reasoning. This tool provides visual observation order, visual checklists, response template, and uncertainty policy. It does not inspect images, solve questions, or select an answer. |
| get_definition_judgement_scaffoldA | Return the read-only method scaffold for definition judgement. This tool provides question polarity routing, definition element checklists, option verification template, and uncertainty policy. It does not solve questions or select an answer. |
| get_analogy_reasoning_scaffoldA | Return the read-only method scaffold for analogy reasoning. This tool provides relation-type checklists, relation verification steps, option comparison guidance, and uncertainty policy. It does not solve questions or select an answer. |
| get_logic_analysis_scaffoldA | Return the read-only method scaffold for logic analysis reasoning. This tool provides problem-type routing, structure templates, constraint extraction checklist, option verification guidance, and uncertainty policy. It does not solve questions or select an answer. |
| get_quantity_relation_scaffoldA | Return the read-only method scaffold for quantity relation reasoning. This tool provides problem-type routing, quantity extraction guidance, unit normalization checks, method checklists, option verification guidance, and uncertainty policy. It does not solve questions, compute final answers, or select an option. |
| get_verbal_reasoning_scaffoldA | Return the read-only method scaffold for verbal reasoning. This tool provides question-type routing, discourse-structure analysis guidance, cloze-context checks, sentence-expression checks, option verification guidance, and uncertainty policy. It does not solve questions, compute final answers, or select an option. |
| route_xingce_questionA | Route a question to the recommended module or scaffold without solving. Supports module_hint / section_context to guide routing by exam section context. Returns module guess, confidence, recommended tool/track, and reasoning signals. Does not answer questions or select options. |
| compose_xingce_analysis_promptA | Compose a structured analysis prompt from question and route result. Supports module_hint / section_context to guide routing by exam section context. Does not solve questions, compute answers, or select options. Returns prompt_text for LLM consumption. |
| compose_xingce_answer_promptB | Compose a conservative answer prompt for LLM-in-the-loop answering. Supports module_hint / section_context to guide routing by exam section context. Returns answer_prompt with strict constraints, output schema, and safety contract. Does not answer questions, call external LLM, or select options. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 15 tools
Most tools have distinct purposes, but classify_question and route_xingce_question overlap slightly in routing, and compose_xingce_analysis_prompt vs compose_xingce_answer_prompt could confuse agents without careful reading. Overall, descriptions help disambiguate.
All tool names follow a consistent verb_noun snake_case pattern (e.g., classify_question, get_analogy_reasoning_scaffold, solve_data_analysis). No mixed conventions.
With 15 tools, the set is well-scoped for the domain of question routing, scaffolding, and solving. Each tool serves a clear purpose, and the count is within the 3-15 ideal range.
The set covers routing, prompt composition, and scaffolds for six reasoning types, but only two solve draft tools (data analysis and logic reasoning) exist. Missing solve tools for analogy, definition, graphic, etc., leaving agents to work around these gaps.