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Retrieve your VULK projects with IDs, descriptions, creation dates, and deployment URLs. Use pagination parameters to manage large project lists.

Instructions

List your VULK projects. Returns project IDs, descriptions, creation dates, and deployment URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of projects (1-100, default 20)
offsetNoSkip N projects (for pagination)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the return data (project IDs, descriptions, creation dates, deployment URLs) but lacks details on permissions, rate limits, pagination behavior beyond the schema, or error handling. For a list operation, this is a moderate gap in transparency.

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 a single, efficient sentence that front-loads the action ('List your VULK projects') and specifies the return data. There is no wasted text, and it directly communicates the core functionality without unnecessary elaboration.

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's low complexity (a simple list operation), 2 parameters with full schema coverage, and no output schema, the description is adequate but incomplete. It covers the purpose and return data but lacks behavioral context like pagination details or error scenarios, which would enhance completeness for agent 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?

The input schema has 100% description coverage, with clear documentation for 'limit' and 'offset'. The description adds no parameter-specific information beyond what the schema provides, such as default values or usage examples. According to the rules, with high schema coverage, the baseline is 3 even without param info in the description.

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 verb ('List') and resource ('your VULK projects'), making the purpose evident. It distinguishes from siblings like 'deploy' or 'edit' by focusing on listing rather than modifying. However, it doesn't explicitly differentiate from 'get' or 'models', which might also retrieve project-related data, so it's not fully specific to sibling alternatives.

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 provides no guidance on when to use this tool versus alternatives like 'get' or 'models'. It mentions what the tool does but offers no context about prerequisites, scenarios for use, or exclusions. This leaves the agent without clear direction on tool selection among siblings.

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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