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cloud.pullSkill

Pull a skill from the cloud library using its slug. Get AI type, source platform, source path, and repo.

Instructions

Pull a skill from the ModelBound cloud library. Response includes ai_type, source_platform, source_path, and repo when known. Requires MODELBOUND_API_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the authentication requirement (MODELBOUND_API_KEY) and specifies response fields (ai_type, source_platform, source_path, repo). This adds meaningful behavioral context beyond the action itself, though side effects or mutability are not addressed.

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 extremely concise with only two sentences. The first sentence states the primary action, and the second adds response details and a key requirement. No redundant or irrelevant information is present, making it efficient and easy to parse.

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?

Given the tool has one parameter and no output schema or annotations, the description provides the action, response fields, and auth requirement. However, it fails to explain the 'slug' parameter, which is essential for usage. Compared to similar tools, this omission makes it incomplete, though the provided details are useful.

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

Parameters1/5

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

The input schema has one required parameter 'slug' with no description, and schema description coverage is 0%. The description does not explain what 'slug' represents or how to use it, failing to add meaning beyond the bare schema. This is a significant gap for the agent to properly invoke the tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Pull a skill from the ModelBound cloud library,' using a specific verb and resource. The sibling tools (e.g., cloud.pushSkill, cloud.listSkills) have distinct names that imply different actions, but the description does not explicitly differentiate from them. Thus it is clear but lacks explicit sibling differentiation.

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

Usage Guidelines2/5

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

The description gives context for when to use the tool (to pull a skill) but provides no guidance on when not to use it or what alternatives exist (e.g., cloud.listSkills for listing, cloud.pushSkill for uploading). No exclusions or comparisons with siblings are mentioned, leaving the agent without clear decision support.

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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