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shanmukhdatta

workspace-mcp

generate_project_tree

Regenerates PROJECT_TREE.md to reflect the current project structure as an ASCII tree, giving you a clear visual overview for efficient navigation and management.

Instructions

(Re)generate PROJECT_TREE.md, a saved visual ASCII tree of the project.

Args: project_path: Path to the project directory, relative to the workspace root.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden of disclosure. It does indicate that the tool writes a saved file (PROJECT_TREE.md) and '(Re)generate' implies overwriting an existing file. However, it does not explicitly state overwrite behavior, required permissions, or any side effects on the project directory, leaving some ambiguity around its safety profile.

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 concise and well-structured. It front-loads the main purpose in the first sentence, then provides an args list with a brief explanation of the single parameter. Every sentence contributes essential information with no redundancy or filler.

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?

For a tool with only one parameter and an output schema, the description covers the core purpose and parameter semantics. However, it lacks usage guidelines and explicit behavioral notes (e.g., overwrites existing file per path), making it adequate but not fully complete. The output schema fills the return-value gap, so this is not a major issue.

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

Parameters4/5

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

The schema only defines 'project_path' as a string with no description, and schema coverage is 0%. The description compensates by explaining that it is the path to the project directory, relative to the workspace root, which clarifies both the format and scope. This adds meaningful context beyond the schema.

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 tool's function: it (re)generates PROJECT_TREE.md, a saved visual ASCII tree. The verb 'generate' combined with the specific resource 'PROJECT_TREE.md' precisely defines the action. It also distinguishes from sibling tool 'project_tree' by emphasizing that it saves the tree to a file.

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 does not provide any guidance on when to use this tool versus alternatives like 'project_tree' or 'generate_readme'. It lacks context about typical use cases, prerequisites, or scenarios where this tool should be preferred, leaving the agent to infer appropriateness from the name alone.

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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