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append_to_array

Append a literal value to a JSON, YAML, TOML array, or Python list. Specify the target path and value to add an item to dependencies, keywords, or similar lists.

Instructions

Append a literal value to an array/list. Works for JSON arrays, YAML sequences, TOML arrays, AND Python module-level list literals.

For JSON/YAML/TOML: target is the dotted path to the array. For Python (.py): target is the module-level variable name (e.g. 'ITEMS').

Use this when: You want to add an item to a list (dependencies, keywords, include paths, fixtures, etc.). Don't use this when: You're adding a key-value pair -> use add_key.

Example (TOML): target="project.dependencies" value='"new-package"' Example (Python): target="ITEMS" value='"new-item"'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
targetYes
valueYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavior. It explains how 'target' works per format and gives examples, but does not cover side effects (e.g., file modification in place, duplicate handling, ordering) or error conditions.

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 well-structured with a clear first sentence, separate sections for formats, usage, and examples. It is informative but could be slightly more compact without losing clarity.

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?

Given the tool's simplicity, the description covers essential aspects: formats, parameter interpretation, usage guidelines, and examples. It lacks some behavioral details, but overall is adequate for the task.

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?

Despite 0% schema description coverage, the description adds meaning for 'target' (dotted path vs variable name) and 'value' (literal string quoting). However, 'file_path' is left unexplained, though it is fairly self-explanatory.

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 it appends a literal value to an array/list, specifies supported formats (JSON, YAML, TOML, Python), and distinguishes itself from the sibling 'add_key' by explicitly noting when not to use it.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('add an item to a list') and when-not-to-use ('adding a key-value pair -> use add_key'), with a direct alternative mentioned.

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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