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update_review_plan

Schedule, complete, or cancel dated review plans for a wrong-answer record, using revision checks to prevent overwriting conflicts.

Instructions

按用户明确日期安排一题原题/变式复习,或完成/取消计划;不会自动提醒。先read_study_record和read_review_plan取得两个独立版本。schedule需用户已纳入题目、带时区due_at及忠实user_note,默认original;exercise需下标且答案检查通过。complete需安排后保存、同题同版本同目标的新attempt_id,提示作答可完成但不算独立或掌握;cancel可取消过期计划。只修改Agent解析不会自动重排日期。版本冲突先读取,不自动覆盖。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changeYes
record_idYes
expected_plan_revisionYes
expected_record_revisionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing optimistic-concurrency behavior ('two independent versions', read-before-write on conflict, no auto-overwrite), side effects (does not auto-reschedule dates), and the semantic distinction between 'completed' vs 'independent/mastered'. With destructiveHint=false and idempotentHint=false already declared, this adds the real behavioral context an agent needs.

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?

Purpose is front-loaded in the first clause and every sentence carries content, but the single dense paragraph with semicolon-chained clauses is heavy to parse. It is appropriately sized for a 4-parameter mutation tool, just tightly packed.

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

Completeness5/5

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

An output schema exists, so return values need not be described; what remains — preconditions, concurrency handling, side effects, and the original/exercise branching — is all covered. Nothing an agent needs to call this multi-action tool correctly is missing.

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?

Schema description coverage is 0%, so the description must compensate, and it largely does: it explains due_at's timezone requirement, user_note fidelity, practice_kind defaulting to original, exercise_index for the exercise branch, and attempt_id semantics for complete. The expected_record_revision / expected_plan_revision fields are only implied by the version-conflict prose rather than named, leaving a small gap.

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?

States the specific resource (review plan) and the three verbs it performs (schedule / complete / cancel), plus the scope 'one question, original or variant'. It is clearly distinguishable from siblings like read_review_plan and record_practice, which the description names as prerequisites.

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

Usage Guidelines5/5

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

Gives explicit, per-action preconditions: read_study_record and read_review_plan first, schedule requires an already-incorporated question plus a timezone-bearing due_at and faithful user_note, exercise requires an index and a passing answer check, complete requires an attempt saved after scheduling. It also states what the tool does not do (no auto-reminders).

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