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Update or pause a schedule

update_schedule
Idempotent

Change a schedule; only the fields you give change. Needs an administrator key. Set enabled to false to pause it and to true to resume it (resuming clears the failures that paused it). A new timetable counts from now.

Input Schema

NameRequiredDescriptionDefault
idYesThe schedule's id (sch_…), as returned by create_schedule or list_schedules.
cronNoFive fields (minute hour day-of-month month day-of-week) or a descriptor such as @daily or @every 15m.
nameNoA label for the schedule.
inputNoAny JSON the agent receives as its input on every start (maximum 1 MiB).
enabledNofalse pauses the schedule, true resumes it.
timezoneNoIANA time zone name, such as Europe/Madrid.
workflowNoName of the saved workflow to run.
max_cost_microsNoCost cap of each run, in millionths of a dollar.
skip_if_runningNoSkip a start while the previous run is still going.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Adds real context beyond the annotations: an auth requirement (administrator key), partial-update semantics, the side effect that resuming clears the failures that paused the schedule, and the timing rule that a new timetable counts from now. These are exactly the behavioral facts the idempotent/destructive hints cannot convey.

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?

Four short sentences, front-loaded with the core action and partial-update rule, then prerequisites, then the pause/resume recipe. Every sentence carries information an agent needs; nothing is redundant filler.

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

Completeness4/5

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

For a 9-parameter mutation with no output schema, the description covers action, auth, partial-update behavior, pause/resume effects and timing. It omits what the response looks like and whether a cron change affects an already-scheduled next run, which are minor gaps given full schema coverage.

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 coverage is 100%, so the baseline is 3, but the description adds meaning the schema lacks: that omitted fields are left untouched, and that flipping enabled to true has the side effect of clearing failure state. It adds nothing for cron/input/workflow beyond the schema, which already documents them.

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 ('Change a schedule') and immediately scopes it as a partial update ('only the fields you give change'), which distinguishes it from create_schedule, delete_schedule and get_schedule. It also covers the pause/resume variant named in the title, so an agent can route to it without opening the schema.

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?

Gives clear conditions: it needs an administrator key, and enabled=false pauses while enabled=true resumes. It stops short of naming alternatives (e.g. create_schedule to make a new one, run_schedule to trigger one now), so the when-not guidance is implied rather than explicit.

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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