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LuisCarlosLopes

codesteer-atlas

atlas_map

Retrieve a structured hierarchical tree of classes, methods, and functions to explore codebase architecture and find entrypoints efficiently.

Instructions

Retrieve a structured hierarchical tree map of classes, methods, and functions in the workspace.

This tool provides a compact overview of the codebase's architecture and logical structure. Use this tool to understand how the project is organized, list classes and methods within folders, or find entrypoints without retrieving full file contents. This is extremely token-efficient.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoOptional repository name to filter the map.
path_prefixNoOptional file path prefix to filter the map to a specific directory.
max_depthNoMaximum directory depth level in the hierarchical map. Defaults to 3.
queryNoOptional search query (accepted for client compatibility and ignored).

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 must compensate, but it only mentions token efficiency. It fails to disclose read-only nature, performance implications, or any other behavioral traits beyond the basic operation.

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 two sentences front-loaded with the core action, followed by use-case guidance. Every sentence adds value without repetition or filler.

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?

The description covers purpose and usage well. With an output schema present, return values need not be explained. However, more behavioral context (e.g., performance for large repos) would improve completeness.

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 coverage is 100% and each parameter already has a description in the schema. The tool description does not add further parameter-level semantics beyond the overall context, so a baseline score of 3 is appropriate.

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 specifies the exact resource ('structured hierarchical tree map of classes, methods, and functions') and verb ('Retrieve'), clearly differentiating from sibling tools like atlas_search and atlas_index by emphasizing a compact architectural overview rather than full content or search.

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

Usage Guidelines4/5

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

The description explicitly states when to use ('understand project organization, list classes/methods, find entrypoints') and notes token efficiency, but does not explicitly mention when not to use or name sibling alternatives.

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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