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PersonaXpand

Approve and send a reply draft

approve_reply_draft
Destructive

Sends one waiting draft (draft_id from list_reply_drafts) from the person's account, as it is or with changed text. Counts toward the reply allowance like any automatic reply.

Input Schema

NameRequiredDescriptionDefault
textNoChanged reply text. Without it the draft is sent as it is.
draft_idYesThe draft_id from list_reply_drafts.
same_reply_to_many_confirmedNotrue means the person confirmed sending this same reply to many people (see same_reply_to_many).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare destructive=true, openWorld=true and non-idempotent, so the safety bar is partly met. The description adds real value beyond them: the send happens from the person's own account and consumes reply allowance like an automatic reply – quota impact an agent would not otherwise know.

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?

Two sentences, action and quota consequence front-loaded, and no redundant restatement of the tool name. Every clause carries information.

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 destructive, non-idempotent send with no output schema, the description covers the account context, the quota cost, and the source of draft_id. It does not say what happens on failure or whether the draft is removed afterward, which would complete the picture.

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 coverage is 100%, so all three parameters are already documented in the schema, including the text-omission behavior. The description restates the 'as it is or with changed text' semantics without adding format rules or syntax beyond the schema, which is the baseline-3 case.

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?

States a specific verb and resource ('Sends one waiting draft') and pins the draft_id source to list_reply_drafts, so an agent can tell this apart from most siblings. It stops short of explicitly contrasting with send_reply or reject_reply_draft, which are the closest alternatives.

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?

Clearly implies it is the approval step in a draft workflow by naming list_reply_drafts as the prerequisite and explaining the optional-text mode. No explicit exclusions ('do not use for direct replies – use send_reply'), so it falls short of a 5.

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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