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slack_users_info

Read-onlyIdempotent

Fetch Slack user profile information for a specified user ID through an authenticated connector account. Returns user details while enforcing read-only, project-scoped access.

Instructions

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

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: Required and must be read; Spring verifies it. approval_ref: Approved platform task UUID when resuming a write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effectYes
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. Changed7 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: +{
      +  "const": "read",
      +  "title": "Effect",
      +  "type": "string"
      +}
    • 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"
      +}
    • addedInput schema / required
      Added value: +[
      +  "effect"
      +]
  2. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already establish readOnly, idempotent, and non-destructive behavior. The description adds some governance context by saying it routes only through the exact project/account connector authority and that Spring verifies the `read` effect, but it does not disclose much additional behavior such as return characteristics or error semantics.

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 compact and structured: platform tool identity first, then a one-line governance constraint, then a flat argument list. It has little fluff, though it could be marginally tightened.

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?

For invocation, the important metadata (effect, routing context, idempotency, connector account) is present, and the output schema covers return values. However, the description omits how to distinguish this from easier Slack user tools and does not explain what should be placed in the `arguments` JSON string, leaving selection and correct payload construction partially underspecified.

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

Parameters4/5

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

Schema description coverage is 0%, and the description compensates by explaining each parameter beyond its title: `project_id` is an Authentiated Project UUID, `connector_account_ref` is a project-bound alias, and `effect` must be `read` and is verified. The main gap is that `arguments` is only described as a JSON string without detailing what Slack `users_info` arguments should contain.

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

Purpose3/5

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

The description identifies this as the Slack connector operation `users_info` / `slack.users_info`, so an agent can map it to the Slack API. But it never states in plain language that it retrieves a user's profile, and it does not differentiate it from sibling tools like `slack_lookup_user` or `slack_list_users`.

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?

There is no guidance on when to use this tool versus alternative Slack user-related tools. The only statement is a routing constraint about governed connector authority, which is not a usage-selection rule.

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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