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List a flow's schedules

workbench_flows_schedules_list
Read-only

Every schedule on one flow: cadence, whether it's paused (enabled: false), the next fire time, delivery, and the last run's status. Read this before workbench_flows_schedule (don't create a duplicate) and to get the scheduleId for workbench_flows_schedules_update / workbench_flows_schedules_delete / workbench_flows_schedules_run_now.

Input Schema

NameRequiredDescriptionDefault
flowIdYesFlow id, from workbench_flows_list.
workspaceNoWorkspace slug. Personal tokens with no default workspace MUST pass this; tokens with a default can override per call. Ignored for workspace API keys.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description adds real value beyond that by describing the returned fields (cadence, enabled flag, next fire time, delivery, last run status) and the read-before-write workflow, though it says nothing about pagination or auth requirements for large schedule sets.

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?

Two sentences, front-loaded with what the tool returns and then the routing guidance. The field enumeration is somewhat dense but each item earns its place for an agent deciding whether this call answers its question.

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?

No output schema exists, so the description carries the burden of describing return content, and it does so with concrete fields. Combined with the sequencing guidance for the schedule lifecycle, nothing material is missing for correct invocation.

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

Parameters3/5

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

Schema description coverage is 100%, with flowId and workspace both documented in the schema, including the workspace-token nuance. The description adds no parameter-level meaning beyond 'one flow', so the baseline 3 applies.

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?

States a specific verb and resource ('Every schedule on one flow') and enumerates what the listing contains (cadence, paused state, next fire time, delivery, last run status), which lets an agent distinguish it from workbench_flows_list, workbench_flows_schedule, and the other schedule tools without opening any schema.

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

Usage Guidelines5/5

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

Explicitly says when to call it: before workbench_flows_schedule to avoid creating a duplicate, and to obtain the scheduleId needed by workbench_flows_schedules_update, _delete, and _run_now. This is a precise when/when-not with named alternatives.

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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