Tessryx

Get app version

get_app_version

Read-only

Read back the full stored definition of an app version by slug or id. Returns the exact definition body that was authored (as a JSON string, so you can parse it to diff or edit and resubmit as a new version) plus its checksum. Omit version to get the latest version. This is the EDITING view; get_app returns the typed published manifest for reading.

Input Schema

TableJSON Schema

Name	Required	Description
`slug`	No	the app slug (provide this or app_id)
`app_id`	No	the app id (provide this or slug)
`version`	No	specific version to fetch; omit (0) for the latest version

Output Schema

TableJSON Schema

Name	Required	Description	Default
`version`	Yes
`definition`	Yes
`content_sha256`	Yes

Schema Changelog

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

First observedSep 7, 2026

TDQS

A4.9/5.0

Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds meaningful behavioral context: it returns a JSON string of the authored definition, includes a checksum, and defaults to the latest version when version is omitted. This goes well beyond the structured annotations.

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?

The description is compact and front-loaded with the core action, then gives return format, default behavior, and the key sibling distinction. Every sentence earns its place without repetition or fluff.

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 read-only retrieval tool with an output schema and full parameter documentation, the description is complete: it specifies how to identify the version, what the response contains, the default when version is omitted, and when to prefer the sibling get_app. Nothing essential is missing.

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 description coverage is 100%, so the schema already documents each parameter. The description adds value by explaining that slug or app_id can be used interchangeably, and that omitting version fetches the latest version, which clarifies the intended semantics beyond the raw schema.

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 states a specific verb and resource, 'Read back the full stored definition of an app version by slug or id,' and clarifies the return payload: the authored JSON definition body plus checksum. It also distinguishes this tool from get_app by calling it the 'EDITING view' versus the 'typed published manifest for reading.'

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 explicitly tells the agent when to use this tool versus the sibling get_app: use get_app_version for the editing representation to diff/edit/resubmit, and get_app for reading the typed published manifest. It also gives guidance on omitting version to fetch the latest.

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

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