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karbassi

slack-mcp

by karbassi

assistant_threads_set_suggested_prompts

Update an AI assistant thread with suggested prompts to guide user interactions in Slack.

Instructions

Set suggested prompts for an AI assistant thread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoOptional heading shown above the suggested prompts.
promptsNoList of prompt objects, each with ``title`` and ``message`` keys.
thread_tsYesTimestamp of the parent assistant thread (e.g. ``1700000000.000100``).
channel_idYesID of the channel containing the assistant thread (e.g. ``C0123``).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as whether the operation overwrites or appends, whether it is idempotent, or any authorization requirements. The minimal description leaves crucial behavior unspecified.

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?

The description is a single sentence with no unnecessary words, making it efficient. However, it could be more informative without adding length.

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

Completeness2/5

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

Given the lack of annotations and the presence of an output schema, the description fails to provide essential context such as prerequisites (e.g., the thread must exist), error conditions, or what the operation returns. The tool has multiple parameters and sibling tools, but the description does not compensate for these gaps.

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?

The input schema has 100% coverage with descriptions for all four parameters. The tool description adds no additional meaning beyond what the schema already provides, achieving the baseline score.

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 clearly states the action ('Set') and the resource ('suggested prompts for an AI assistant thread'), distinguishing it from sibling tools like assistant_threads_set_status and assistant_threads_set_title. However, it does not explicitly specify that the action replaces all existing prompts.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., when to use set_title vs set_suggested_prompts). No usage context or exclusions are mentioned.

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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