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karbassi

slack-mcp

by karbassi

assistant_threads_set_suggested_prompts

Define suggested prompts for an AI assistant thread in Slack to guide user interactions.

Instructions

Set suggested prompts for an AI assistant thread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channel_idYes
thread_tsYes
promptsNo
titleNo

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 must fully disclose behavioral traits. It only states 'Set suggested prompts' which implies mutation but omits details like side effects, authentication needs, rate limits, or what happens when prompts is null. This is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise, but given the tool's complexity (4 parameters, mutation, no annotations), it is underspecified. It could be expanded to provide helpful detail without being verbose.

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?

With no annotations and 4 parameters (2 required), the description is too brief. There is an output schema, so return values are covered elsewhere, but the description lacks information on prerequisites, effects of settings, and parameter semantics. For a mutation tool, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description should add meaning to parameters. It does not explain what 'channel_id', 'thread_ts', 'prompts', or 'title' are or how they should be formatted. The purpose mentions 'suggested prompts' but no detail on the params.

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 the action ('Set'), the resource ('suggested prompts'), and the context ('for an AI assistant thread'). It effectively distinguishes from sibling tools like 'assistant_threads_set_status' and 'assistant_threads_set_title'.

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 versus alternatives. There are several 'assistant_threads_set_*' siblings, but the description does not explain when to set prompts vs. status or title. No when-not-to-use or prerequisites 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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