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upload_skill

Upload a skill package ZIP to target LLM platform APIs (Claude, Gemini, OpenAI) with an optional API key.

Instructions

Upload skill package to target LLM platform API. Requires platform-specific API key. Supports: claude (Anthropic Skills API), gemini (Google Files API), openai (Assistants API). Does NOT support markdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skill_zipYes
targetNoauto
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses API key requirement and non-support for markdown, but lacks details on success response, error conditions, idempotency, or rate limits. For a mutation tool, this is insufficient.

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?

Description is three sentences, front-loading the main action and then adding details. It is concise with no redundant information, though slightly more structure could improve readability.

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 presence of an output schema and simple parameters, the description covers essential aspects like required API key and supported platforms. It could mention output expectations or constraints like size limits, but is mostly adequate.

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 0%, so description must compensate. It partially explains parameters: skill_zip as the package, api_key as required, target as one of the supported platforms. However, it does not explain default values or format, leaving ambiguity.

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 clearly states the verb 'upload' and resource 'skill package', and specifies supported platforms (claude, gemini, openai), differentiating it from sibling tools like 'install_skill' or 'package_skill'.

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 description mentions requirement for platform-specific API key and lists supported platforms, implying when to use, but does not explicitly state when not to use or provide alternatives like 'install_skill' or 'package_skill'.

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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