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GeorgeTsakonas

code-atlas-mcp

get_repo_structure

Map repository structure with AST-pruned skeletons, stripping implementation bodies to save context tokens.

Instructions

Returns a hierarchical, AST-pruned structural map of the repository with token-efficient code skeletons, stripping implementation bodies to save context tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rootDirNoTarget root directory. Defaults to current working directory.
maxDepthNoMaximum directory depth recursion. Defaults to 5.
fileExtensionsNoAllowed file extensions (e.g. ['.ts', '.tsx', '.js']).
ignorePatternsNoPatterns to ignore during scan.
includeSkeletonsNoWhether to include token-efficient AST skeletons. Defaults to true.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses a meaningful behavioral trait—stripping implementation bodies to save tokens—but does not explicitly state that the operation is read-only, mention any side effects, or describe limitations. Some transparency is present, but key aspects remain uncovered.

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, well-structured sentence that front-loads the core purpose and then adds the pruning detail. It is concise, with no wasted words, and effectively communicates the tool's value.

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 explains the output concept and the schema covers parameters, but there is no output schema and the description doesn't mention return format or usage context. Given the tool's simplicity, it is mostly complete, though it could benefit from a note on when to use it or what the skeleton structure looks like.

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 description coverage is 100%, so all five parameters are fully documented in the schema. The description itself adds no parameter-level details beyond the schema, so the baseline score of 3 is appropriate.

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 tool returns a hierarchical, AST-pruned structural map with token-efficient code skeletons, which is specific to the resource and operation. It does not explicitly differentiate from sibling tools like analyze_diff_impact or inspect_blast_radius, but the purpose is unambiguous and distinct by nature.

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 the sibling tools. It only describes what it does, without any conditions, exclusions, or references to alternatives, leaving usage context entirely to inference.

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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