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TetreesEX

Tetrees AI

Official
by TetreesEX

Update AI Pack listing details

update_ai_pack_draft

Update an AI pack draft's seller-owned metadata to correct listing, models, tags, pricing, or capabilities; published immutable versions stay untouched.

Instructions

Update seller-owned public metadata; immutable pack versions are never overwritten.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
modelsNo
listingNo
priceUsdNo
productIdYesTetrees AI Pack product id
capabilitiesNo
businessUseCaseNo
shortDescriptionNo

Schema Changelog

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

  1. First observedv2.2.1

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose an important behavioral trait: pack versions are never overwritten, only metadata is updated. But it does not clarify whether the update is partial or full replacement, what permission is required, or what the response looks like.

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 two short sentences with no wasted words. The action and scope are front-loaded, and the immutability warning is placed second while still being concise.

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

Completeness2/5

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

This is a high-complexity tool with 8 parameters, a nested listing object, no output schema, and no annotations. The description is too brief to be complete; it leaves out update semantics, validation behavior, and field-level guidance. The schema provides structural constraints but not the operational context an agent needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 13%, with only productId documented. The description says 'public metadata' but does not map that to the actual parameters such as tags, models, listing, priceUsd, capabilities, businessUseCase, or shortDescription. Given the low coverage, the description should compensate but does not.

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 ('Update') and a clear resource ('seller-owned public metadata'), and explicitly contrasts this with immutable pack versions. This distinguishes the tool from version-related operations like upload_ai_pack or publish_ai_pack. The title reinforces that it targets listing details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'seller-owned public metadata' implies the intended scope, and 'immutable pack versions are never overwritten' gives an exclusion for version content. However, no sibling tool is named, and there is no explicit direction about when to choose this tool over create_ai_pack_draft or publish_ai_pack.

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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