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TetreesEX

Tetrees AI

Official
by TetreesEX

Upload and commit a TAIP/1 envelope

upload_ai_pack

Upload a local .taip pack to a product, committing a new immutable version with an optional changelog.

Instructions

Read an explicit local .taip path, transfer it through the product-scoped private upload contract, and commit one immutable higher version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionYes
packPathYes
changelogNo
productIdYesTetrees AI Pack product id

Schema Changelog

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

  1. First observedv2.2.1

TDQS

A3.8/5.0
Behavior3/5

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

Since no annotations are provided, the description carries the burden of behavioral disclosure. It does reveal that the operation reads a local path, uses a private upload contract, and commits an immutable higher version. However, it omits important consequences such as required permissions, behavior on version collisions, whether the commit is reversible, and whether this also publishes or only uploads.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one dense sentence with no filler: every clause contributes the source path, the transfer contract, or the version-commit outcome. The heavy domain jargon such as 'TAIP/1 envelope' and 'product-scoped private upload contract' may reduce accessibility slightly, but the structure itself is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description covers the main action but leaves out surrounding context an agent needs, such as return value, ownership/permission requirements, version-collision errors, and how this step relates to publish/submit/draft siblings. It is adequate for a basic invocation but not fully complete for safe autonomous use.

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 only 25%, so the description must add meaning beyond the schema. It maps packPath to a local .taip path, productId to product scope, and version to a higher immutable version; changelog is not addressed, and the meaning of 'higher' is not fully specified. This is partial compensation, not complete.

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 operation—read a local .taip file, transfer it through a product-scoped upload contract, and commit a version—while the title adds 'TAIP/1 envelope'. This clearly distinguishes the tool from siblings like upload_ai_pack_image or create_ai_pack_draft because it is explicitly about uploading and committing a pack envelope as an immutable higher version.

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 gives clear context: this tool is for an explicit local .taip path and a version commit, which lets an agent infer it belongs in release/versioning flows rather than draft editing or image upload. It does not explicitly name alternatives or state when not to use it, so it stops short of top marks.

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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