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提醒回复

remind_host_followup
Destructive

【需要登录】在任主理人且AI判WORTH_CONTACT才可用。默认预览目标、实际官方私信、可选App推送及频控;用户确认后带同参数和hash执行。谢绝/撤回/关闭不可催促。不发送短信,提交或尝试推送不代表送达/已读。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
previewNo
previewHashNo
conversationIdYes
organizationIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations it discloses the preview-by-default behavior, that a real official DM/push is sent on confirmation, frequency control, the same-params-plus-hash execution contract, and important caveats (no SMS; submission or attempted push does not equal delivered/read). This is rich behavioral context an agent cannot get from the schema or hints alone.

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?

Prerequisites are front-loaded and every sentence adds information, but the single dense paragraph packs prerequisites, behavior, and caveats together, making it harder to scan than a lightly structured version would be.

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?

For a mutating, no-output-schema tool it covers eligibility, the preview/confirm flow, and delivery caveats well. Remaining gaps are the unexplained target/conversationId/organizationId semantics and any description of the response.

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 0%, so the description must carry the load; it usefully explains that preview defaults on and that previewHash is echoed with the same params on confirmed execution. However target (member vs counterpart), conversationId, and organizationId are never explained, so compensation is only partial.

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 makes clear this sends a reminder follow-up (default preview, then actual official DM plus optional App push) tied to a host follow-up flow. It states the verb and resource concretely but never names or contrasts the adjacent siblings list_host_followups, log_host_followup, or set_host_followup_done, so differentiation is left to inference.

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?

It gives explicit preconditions (login required, active host, AI must judge WORTH_CONTACT) and an exclusion (declined/withdrawn/closed cannot be reminded), plus the two-phase preview-then-confirm pattern. This is clear context, but it stops short of pointing to alternative tools for those excluded or non-qualifying cases.

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

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