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list_course_resource_candidates

Read-only

Discover which resources are available to attach to a course, enabling you to select suitable learning materials for your course.

Instructions

List resources that can be attached to a course

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes原始 DeepTutor 工具返回值;其具体字段由对应 DeepTutor API 决定。

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds no behavioral traits beyond the obvious list operation, such as pagination, ordering, or whether returned resources are limited by course context.

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 clear sentence with no filler or redundancy. It is appropriately front-loaded and every word contributes to meaning.

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 zero parameters, an output schema, and safety annotations, the description is almost fully sufficient. The only minor gap is that 'resources' is somewhat generic and could be more precise about what kinds of attachable resources are included.

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

Parameters4/5

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

The tool has zero parameters, so the schema carries no parameter burden. The description does not need to explain parameter semantics, and the baseline of 4 applies because no additional parameter information is required.

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

Purpose4/5

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

The description uses a specific verb ('List') and resource ('resources that can be attached to a course'), making the core purpose clear. It semantically distinguishes itself from sibling tools like attach_course_resource, though it does not explicitly name or contrast any sibling.

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 phrase 'that can be attached to a course' implies use in a course-resource attachment workflow, but the description gives no explicit when-to-use, when-not-to-use, or alternative-tool guidance. Usage is only suggested indirectly.

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