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karbassi

slack-mcp

by karbassi

workflows_step_completed

Marks a Slack workflow step as completed, with optional outputs to pass data to subsequent steps.

Instructions

Indicate a workflow step has been completed successfully.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_step_execute_idYes
outputsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description fails to disclose behavioral traits such as side effects, permissions, idempotency, or response format. It only states the action without any deeper context.

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, clear sentence—no wasted words. However, it is so short that it may sacrifice completeness for brevity, but it does earn its place.

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?

Despite having an output schema and only two parameters, the description does not provide enough context for correct invocation. It omits when to call, prerequisites, and what constitutes success, leaving gaps for an AI agent.

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%, and the description does not explain any parameters. 'workflow_step_execute_id' and 'outputs' are left ambiguous, forcing the agent to rely solely on names which may be insufficient.

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 tool's purpose with a specific verb ('indicate') and resource ('a workflow step has been completed successfully'). It distinguishes itself from siblings like 'workflows_step_failed' and 'workflows_update_step' by focusing on successful completion.

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 (e.g., 'workflows_step_failed' for failures). The description lacks explicit context for usage scenarios or exclusions.

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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