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delete_reading_bookmark

Remove a reading bookmark from a specified material after user confirmation, keeping learning data accurate.

Instructions

WARNING: Changes stored DeepTutor learning data. Check the target ID and values; call only when the learner explicitly requests this action. Delete one reading bookmark

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmYesSet true when this write is authorized by the current user request
bookmark_idYesBookmark ID
material_idYesReading material ID

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

B3.4/5.0
Behavior1/5

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

The description says the tool deletes a reading bookmark and changes stored DeepTutor learning data, which implies a destructive write. However, annotations declare destructiveHint: false, contradicting the deletion behavior. Per the rubric, this is an annotation contradiction.

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

Conciseness4/5

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

The description is short and front-loads the important warning before stating the action. It is efficient, though the warning and the actual purpose are somewhat split across multiple clauses.

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

Completeness3/5

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

The safety warning and authorization condition are useful, and an output schema exists. However, the contradictory destructiveHint annotation undermines completeness, and the description does not clarify irreversibility or what specific learning data changes occur.

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%, and each parameter has a description, including the confirm flag. The description adds only a generic reminder to check target IDs and values, which does not meaningfully exceed the schema's coverage.

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 states a specific verb and resource: 'Delete one reading bookmark.' This clearly distinguishes it from sibling tools like add_reading_bookmark, list_reading_bookmarks, and delete_reading_annotation.

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

Usage Guidelines4/5

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

The description explicitly says to call only when the learner explicitly requests the action and to check the target ID and values first. It provides a clear when-to-use condition, though it does not mention alternatives.

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