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My selected release details

get_my_app_version
Read-onlyIdempotent

Retrieve detailed metadata for a specific app version by providing the app ID and version ID, verifying ownership before returning status, notes, hashes, and RPM info.

Instructions

Read a version_id from list_my_app_versions for its app_id. Verifies app and release membership before detail fetch; each lookup is bounded to 500 items. Returns selected status/notes/hashes/RPM metadata and shared app description/screenshots, not a historical description snapshot. No files are fetched and no state is changed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYesOwned app ID from list_my_apps; not a public slug or release ID.
version_idYesRelease ID from list_my_app_versions; not app_id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionYes
screenshotsYes
shared_app_descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.5/5.0
Behavior5/5

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

The description exceeds the annotations by specifying that it verifies app/release membership, bounds lookups to 500 items, and explicitly states it returns shared app description/screenshots rather than a historical snapshot, and that no files or state changes occur. This adds valuable behavioral context beyond the readOnlyHint.

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 four sentences, front-loaded with the core action ('Read a version_id from list_my_app_versions'), and every sentence adds distinct value (membership verification, bounds, return contents, and side-effect-free nature). No fluff or redundancy.

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?

Given the presence of an output schema and annotations, the description covers the essential behavioral constraints (membership check, 500-item bound, no-side-effects) and clearly states what is and isn't returned. It is complete for an agent to decide whether to call this tool and what to expect.

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?

Both parameters are fully documented in the schema (100% coverage), describing exactly where the IDs come from (list_my_apps and list_my_app_versions). The description reinforces the relationship but adds little beyond the schema, so a baseline of 3 is appropriate.

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 ('Read') and resource ('a version_id from list_my_app_versions'), clearly distinguishing it from sibling tools like get_my_app or list_my_app_versions. It also enumerates the type of data returned (status, notes, hashes, RPM metadata), making the purpose unambiguous.

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?

The description provides clear context on prerequisites: you must have obtained a version_id from list_my_app_versions. However, it does not explicitly name alternative tools or state when not to use this tool (e.g., when listing all versions), so it lacks explicit exclusions but conveys the intended usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.