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slack_assistant_set_suggested_prompts

DestructiveIdempotent

Set suggested prompts for Slack AI assistant using the authorized Slack connector, enabling users to guide assistant responses with predefined prompt options.

Instructions

Slack connector operation assistant_set_suggested_prompts (platform tool slack.assistant_set_suggested_prompts).

Routes only through the exact project/account governed connector authority.

Args: arguments: JSON string of arguments for the connector operation. project_id: Authenticated Project UUID. project_ref: Exact project correlation reference. connector_account_ref: Project-bound connector account alias. idempotency_key: Stable business-action identity. effect: Claimed read or write effect; Spring verifies it. approval_ref: Approved platform task UUID when resuming a write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effectNo
argumentsNo{}
project_idNo
project_refNo
approval_refNo
idempotency_keyNo
connector_account_refNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changedv0.1.1
    • addedInput schema / properties / approval_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Approval Ref"
      +}
    • addedInput schema / properties / connector_account_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Connector Account Ref"
      +}
    • addedInput schema / properties / effect
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Effect"
      +}
    • addedInput schema / properties / idempotency_key
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Idempotency Key"
      +}
    • addedInput schema / properties / project_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Project Id"
      +}
    • addedInput schema / properties / project_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Project Ref"
      +}
  2. First observedv0.1.0

TDQS

D1.1/5.0
Behavior1/5

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

The description discloses no effects, side effects, idempotency, or destructive behavior. The annotations indicate destructive and idempotent hints, but the description itself is silent on these behavioral traits.

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

Conciseness2/5

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

The text is short and not bloated, but every sentence is generic boilerplate repeated from a template. It communicates no tool-specific information and the structure does not aid understanding.

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

Completeness1/5

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

There is no context about the Slack assistant domain, what suggested prompts are, how they are formatted, what arguments should contain, or what the response looks like. The output schema is not referenced or explained.

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 coverage is 0%; none of the seven parameters (arguments, project_id, project_ref, approval_ref, idempotency_key, connector_account_ref, effect) are explained beyond their names and types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description only repeats the tool name and generic boilerplate ('Slack connector operation'), without stating what setting suggested prompts actually does or when it should be used.

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

Usage Guidelines1/5

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

No guidance is provided on how to invoke the tool, what arguments to pass, or what conditions warrant using it over sibling Slack tools.

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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