list_reply_drafts
List Reply Drafts
Pending inbound-reply drafts awaiting your review.
Responses:
200: Successful Response (Success Response) Content-Type: application/json
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List Reply Drafts
Pending inbound-reply drafts awaiting your review.
200: Successful Response (Success Response) Content-Type: application/json
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
No schema history has been recorded yet.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the burden. It does disclose a meaningful behavioral trait beyond the name: only pending drafts are returned, not all drafts. However, it says nothing about ordering, pagination, or volume, and the trailing '### Responses: 200' block is raw HTTP boilerplate that adds no behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The useful content is two short sentences and is front-loaded, which is good. But the '### Responses: **200**: Successful Response / Content-Type: application/json' section is pure API documentation noise that wastes the reader's attention without earning its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read tool with no output schema, the description covers what it lists and the scope (pending), but leaves gaps: no indication of the fields a draft contains, ordering, or how the result feeds the approve/skip/rewrite siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters and the schema is empty, so there is no parameter semantics to explain; the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource ('List Reply Drafts') and narrows scope to 'pending inbound-reply drafts awaiting your review.' That is clear enough to act on, but it never distinguishes this from the many similar siblings such as list_drafts, list_replies, list_comment_drafts, and list_content_drafts, so an agent must guess which list to call.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'awaiting your review' implies this is the queue of drafts that still need a decision (presumably feeding approve_reply_draft/skip_reply_draft/rewrite_reply_draft), but no explicit when-to-use, when-not-to-use, or alternative tool is named.
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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