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Update schedule

update_schedule

Update a schedule's display name and description (metadata only — the cron/workflow/input live in the versioned definition; change those with create_schedule_version).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYes
schedule_idYesthe schedule id to update
display_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
versionNo
definitionNo
descriptionYes
last_run_atNo
last_run_idNo
next_run_atNo
schedule_idYes
display_nameYes
latest_versionYes
last_published_versionYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare non-destructive and closed-world behavior. The description adds valuable transparency by clarifying that the versioned definition is untouched and that this operation only affects metadata. It does not contradict annotations, though it does not discuss side effects on published schedules or authentication.

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?

One dense sentence that front-loads the operation and scope, then routes to the correct sibling for other changes. Every clause contributes value without unnecessary elaboration.

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?

For a simple three-parameter metadata update, this description is complete enough. It defines the scope, names the alternative tool, and the output schema handles return-value expectations. An agent can invoke this tool correctly without needing additional context.

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?

The schema only documents schedule_id, leaving display_name and description unexplained. The description compensates by treating them as metadata fields and explicitly separating them from cron/workflow/input, which is important semantic context for correct invocation. It does not add formatting constraints, but none are obviously needed.

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 precise action: updating a schedule's display name and description. It explicitly narrows the scope to metadata-only and distinguishes this from create_schedule_version, so an agent knows exactly what resource and fields are affected.

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?

Clearly tells the agent when to use this tool (metadata-only changes) and when not to (changes to cron/workflow/input should use create_schedule_version). This explicit routing prevents confusion with the most similar sibling tool.

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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TDQS

A4/5.0
Disambiguation5/5

Every resource family follows the same verb+noun pattern and each tool name uniquely identifies a resource-action pair (create_app vs create_app_version vs update_app vs publish_app). Closest overlaps like analyze_resource vs get_resource_graph and patch_datafile vs update_datafile are explicitly differentiated by their descriptions, so misselection risk is low despite the scale.

Naming Consistency5/5

Names are almost uniformly verb_noun snake_case with a consistent lifecycle vocabulary: create/get/update/delete/list/publish/unpublish/version. Minor outliers like whoami and run_schedule_now are idiomatic and do not break the predictability of the set.

Tool Count1/5

At 93 tools this far exceeds the calibration's 50+ extreme-mismatch case. The count is inflated by repeating create/get/update/delete/version/publish/unpublish across ten resource families; even though each family is systematic, the combined surface is very hard for an agent to navigate and keep in context.

Completeness4/5

Core CRUD/publish/version lifecycles are present for apps, workflows, endpoints, schedules, schemas, datafiles, and api templates, and dependency analysis is well covered. However, secret creation/updating, asset upload, custom-domain deletion, and version-range enumeration for several resource types are absent or left to the external dashboard, so agents hit a few manual dead ends.

Resources