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DBOS MCP Server

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list_steps

Retrieve execution steps for a DBOS workflow from DBOS Conductor. Get details like function names, outputs, errors, and timestamps by providing application name and workflow ID.

Instructions

Get execution steps for a workflow from DBOS Conductor.

Args: application_name (string, required): Name of the DBOS application workflow_id (string, required): ID of the workflow limit (int, optional): Maximum number of steps to return offset (int, optional): Number of steps to skip (for pagination)

Returns: steps: Array of step objects, each containing: - function_id (int): The unique ID of the step in the workflow - function_name (string): The name of the step - output (string, optional): The step's output, if any - error (string, optional): The error the step threw, if any - child_workflow_id (string, optional): If the step starts or retrieves the result of a workflow, its ID - started_at_epoch_ms (string, optional): The Unix epoch timestamp at which this step started - completed_at_epoch_ms (string, optional): The Unix epoch timestamp at which this step completed count (int): Number of steps returned workflow_id (string): The workflow ID queried

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
workflow_idYes
application_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses pagination via limit/offset and outlines the full return structure, including optional fields. However, it does not explicitly state read-only semantics or any limits/defaults, leaving some room for inference.

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

Conciseness5/5

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

The description is well-structured with a one-sentence purpose, a concise Args section, and a detailed Returns section. It is longer than minimal but every line adds clarity, and the information is front-loaded with the purpose.

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

Completeness5/5

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

The description covers the tool's purpose, all parameters, pagination behavior, and a full breakdown of return fields. Despite lacking error handling details, it is complete enough for an agent to invoke the tool and interpret results successfully.

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

Parameters5/5

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

The schema has no property descriptions (0% coverage), and the description compensates by explaining each parameter's purpose, including limit as 'Maximum number of steps to return' and offset as 'Number of steps to skip (for pagination)'. This adds meaning beyond the schema's bare type declarations.

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 opens with a clear action: 'Get execution steps for a workflow from DBOS Conductor.' This specifies both the resource (execution steps) and the scope (a workflow), differing from siblings like list_workflows or get_workflow.

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

Usage Guidelines4/5

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

The description does not mention alternatives or exclusion criteria, but it clearly states the required context: application_name and workflow_id. This gives an agent enough context to know when to invoke it (when it needs steps for a specific workflow), though it lacks explicit when-not-to-use guidance.

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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