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Create app version

create_app_version

App versioning — add a new version to an EXISTING app (by app_id) to change its membership selector (prefix rules, includes/excludes) or display. Author the new version's definition against the schema from get_app_definition_schema. Pass publish=true to make it the live manifest immediately. (For a brand-new app, use create_app.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYesThe app id to add a version to.
publishNoIf true, immediately publish the version this call creates (the common create-then-publish in one step). Defaults to false; omit to leave the version as an unpublished draft.
definitionYesThe app definition, as a JSON object. Fetch the exact JSON Schema it must satisfy with get_app_definition_schema and author against it (or copy an existing one with the get_*_version tool). The owning service validates it on submit.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
app_idYes
versionYes
publishedYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations provide openWorldHint=false and destructiveHint=false but no readOnlyHint, so the description carries the burden of explaining the write behavior. It does so: the call mutates an existing app's selector/display, and "publish=true to make it the live manifest immediately" implies the previous version is superseded. This adds useful behavioral context beyond the structured annotations, though it stops short of spelling out the fate of the previously live version.

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?

Three tight sentences with zero filler. The core purpose is front-loaded in the first sentence, the authoring workflow in the second, and the sibling disambiguation in the third. Every sentence earns its place, and the parenthetical about create_app is placed exactly where the agent needs it.

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?

Given the tool's complexity — versioning semantics, publish behavior, a nested definition object, and an output schema — the description covers the essentials: purpose, definition authoring path (get_app_definition_schema), publish mechanics, and alternative routing. Minor gaps remain (whether the prior live version is destroyed or demoted on publish, and how unpublished drafts are listed), but nothing that would block a correct call.

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%, so the baseline is 3; the schema already documents app_id, publish, and definition thoroughly. The description adds modest extra framing — "membership selector (prefix rules, includes/excludes)" gives the definition parameter practical meaning, and "live manifest" sharpens the publish semantics. This is value-add but not substantial enough to push above baseline.

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 names a specific verb and resource — "add a new version to an EXISTING app (by app_id)" — and states exactly what the version changes: "membership selector (prefix rules, includes/excludes) or display." It explicitly distinguishes itself from the immediate sibling create_app ("For a brand-new app, use create_app"), and is also distinguishable from the other create_*_version siblings by naming its resource.

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?

The description gives an explicit when-not with a named alternative: "(For a brand-new app, use create_app.)" It also gives workflow guidance for the main path — author the version definition against the schema fetched from get_app_definition_schema — and explains when to set publish=true versus leaving the draft unpublished. The agent can select and execute this tool without inference.

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