Skip to main content
Glama

query_paper

Retrieve exam paper details by providing group and paper IDs. Get summary metadata or full content with all questions by setting detail level.

Instructions

查询试卷;默认返回摘要,完整内容请设 detail_level=full

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_idYes课程组id(通过 query_teacher_groups 获取)
paper_idYes试卷ID(通过 query_group_tasks 获取)
parse_modeNo富文本解析模式:plain=纯文本,raw=原始结构,markdown=标准 Markdown + assetsplain
detail_levelNo试卷粒度:summary=仅元信息,full=含全部题目summary
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full burden. It discloses default return format but does not reveal read-only nature, authentication needs, or effects of parameters beyond schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose and key behavior, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description explains return format (summary vs full) and hints at parameters. Completeness is adequate for a simple query tool, though siblings could be referenced.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, providing baseline 3. The description adds no extra meaning beyond the schema, only mentioning detail_level which is already documented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool queries a paper, specifying default behavior (summary) and how to get full content. It distinguishes from sibling tool 'query_paper_summary' which is likely more limited.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage via default and full content options but does not explicitly state when to use this tool over alternatives like 'query_paper_summary' or preconditions for use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sav1ouR520/xiaoya-teacher-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server