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karbassi

slack-mcp

by karbassi

drafts_update

Update a Slack draft message, including text, thread reply, attachments, or broadcast settings.

Instructions

Update an existing draft (undocumented session endpoint).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesUpdated draft message body text.
draft_idYesID of the draft to update.
file_idsNoIDs of already-uploaded files to attach to the draft (e.g. ``F0123``).
broadcastNoAlso send the threaded reply to the channel when posted (requires ``thread_ts``).
thread_tsNoTimestamp of the parent thread to draft a reply to (e.g. ``1700000000.000100``).
channel_idYesID of the channel the draft is addressed to (e.g. ``C0123``).
client_last_updated_tsYesThe draft's last-updated timestamp (7-decimal-place Slack draft ts).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations are absent. The description only notes it is an undocumented session endpoint, but does not disclose permissions, side effects, or whether the update is partial or full replacement. No behavioral traits beyond the operation type.

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?

Single sentence, no wasted words. While not structured, it is concise and front-loaded with the core action.

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?

Given the presence of an output schema and complete parameter descriptions, the description is minimally adequate. However, it lacks context on expected behavior like whether the draft is replaced atomically or incrementally.

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 parameters are well-documented in the schema. The description adds no extra semantic value beyond the parameter descriptions already present.

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 clearly states 'Update an existing draft', specifying the verb and resource. It distinguishes from sibling tools like drafts_create, drafts_delete, and drafts_list.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives. For example, it doesn't mention that updates require the draft to exist or that it should be used instead of recreating.

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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