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Update workflow

update_workflow

Update a workflow's display_name and description (metadata only — this does NOT change the workflow's logic; edit that with create_workflow_version / patch_workflow, and the slug cannot be changed). This is a WHOLESALE replace: display_name is required and description is set to exactly what you pass (an empty/omitted description CLEARS it), so to change one field while keeping the other, read the current values with get_workflow first and pass both.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionNoWhat this workflow does. Set wholesale — an empty value clears it.
workflow_idYesThe workflow id to update.
display_nameYesHuman-readable name. Required (cannot be blank).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
versionNo
definitionNo
descriptionYes
workflow_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

A5/5.0
Behavior5/5

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

The description goes far beyond the annotations by revealing wholesale replacement semantics: display_name is required, description is set exactly to what is passed, and an empty or omitted description clears it. It also clarifies that this update does not touch workflow logic, giving the agent a complete behavioral model.

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?

Two information-dense sentences with no filler. The primary scope is stated first, followed by the wholesale-replace behavior and the read-first precaution, so the most decision-relevant content is front-loaded.

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 definition covers purpose, alternatives, exclusions, parameter behaviors, and a safe update workflow (get_workflow before update). With an output schema present, no return-value documentation is needed, so nothing material is missing for an agent to invoke this correctly.

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?

Although the schema already documents all three parameters, the description adds crucial semantics not inferable from it: the required display_name cannot be blank, description is a full replace rather than a patch, and omitted description means clearing. This materially improves correct parameter construction.

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 ('Update a workflow's display_name and description') and scopes it to metadata only, explicitly excluding logic changes and slug changes. It names the sibling tools that handle logic edits, making the tool's purpose unmistakable.

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?

Provides explicit when-to-use and when-not-to-use guidance: logic edits should go through create_workflow_version / patch_workflow, and slug cannot be changed. It also gives a concrete precondition, reading with get_workflow before updating one field, which is directly actionable for an agent.

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