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jfrog_get_tree

Read-onlyIdempotent

Retrieve a bounded file and folder tree from a JFrog Artifactory repository using storage metadata traversal. Specify path, depth, limit, and file/folder filters to explore repository structure.

Instructions

Get a bounded file/folder tree using storage metadata traversal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoRepository-relative path using forward slashes. Omit, empty string, '.', or '/' for the repository root; '..', backslashes, raw URLs, and control characters are rejected.
depthNoTraversal depth. Defaults by tool and is capped by the configured JFROG_MAX_DEPTH value.
limitNoMaximum number of results to return. Values below 1 are rejected; values above the configured server limit are clamped.
repo_keyYesJFrog repository key, for example libs-release-local. Raw URLs, path separators, and control characters are rejected.
include_filesNoWhether file entries should be included in the response.
include_foldersNoWhether folder entries should be included in the response.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that the tree is 'bounded' and uses 'storage metadata traversal', which provides some behavioral context, but no additional details on ordering, pagination, or exception handling. No contradiction with annotations.

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, focused sentence that directly states the core function without any wasted words or redundant details.

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?

The tool has 6 parameters, all schema-documented, and an output schema exists, so the description need not explain return values. However, the description leaves 'bounded' somewhat ambiguous and lacks any contextual guidance about when to use a tree traversal versus a flat list or other sibling tool, making it adequate but not 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?

Schema description coverage is 100%, with each parameter already documented in detail including defaults and validation rules. The tool description adds no parameter-specific meaning beyond what the schema provides, so the baseline 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 uses a specific verb ('Get') and identifies a clear resource ('bounded file/folder tree') with a method ('storage metadata traversal'). It is clear what the tool does, though it does not explicitly distinguish itself from sibling tools like jfrog_list_path.

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?

No guidance is given for when to use this tool versus alternatives. Sibling tools such as jfrog_list_path, jfrog_find_files, and jfrog_latest_files exist, but the description offers no comparison or exclusionary guidance.

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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