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Read source code files from VULK projects to access file paths, content, languages, and sizes for development and analysis.

Instructions

Read the source code of a VULK project. Returns every file with its path, content, language, and size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool reads source code and returns file details, implying a read-only operation, but doesn't clarify permissions, rate limits, error conditions, or whether it accesses live or cached data. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that front-loads the core action and resource, followed by return details. It avoids redundancy and wastes no words, making it easy to parse. However, it could be slightly more structured by separating usage context from output details for even clearer readability.

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 complexity (reading source code with multiple attributes), lack of annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and output structure but misses behavioral details like error handling or data freshness. For a tool with no structured safety or output information, it should provide more context to be fully complete.

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 the 'projectId' parameter documented. The description doesn't add any parameter-specific details beyond what the schema provides, such as explaining what a VULK project ID is or where to find it. Given the high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 ('Read the source code') and resource ('a VULK project'), specifying what the tool does. It distinguishes itself from generic 'read' operations by focusing on source code files with specific attributes. However, it doesn't explicitly differentiate from potential sibling tools like 'get' or 'list' that might handle similar data.

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 'list' from the sibling tools. It mentions the tool's specific focus on VULK project source code but offers no context about prerequisites, exclusions, or comparative use cases with other tools.

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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