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manage_text_boxes

Add, update, or remove text boxes in KiCad schematics, with control over content, position, size, rotation, and font size.

Instructions

Manage text boxes (add, update, remove).

Args: action: Operation ("add", "update", "remove") text: Text content (required for "add", optional for "update") position: Position (required for "add") size: Size tuple (required for "add") rotation: Rotation in degrees (optional) font_size: Font size (optional) text_box_uuid: TextBox UUID (required for "update"/"remove") ctx: MCP context (optional)

Returns: Dictionary with text box data or error

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNo
textNo
actionYes
positionNo
rotationNo
font_sizeNo
text_box_uuidNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does add genuine value by mapping which args are required for which action, but for a mutating tool it says nothing about what 'remove' destroys, whether updates are reversible, or what permissions are needed.

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?

Purpose is front-loaded in a single sentence, followed by a scannable Args block with no filler. The Returns line is redundant given an output schema exists, but the overall structure is tight.

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 per-action parameter requirements are well covered and return values are delegated to the output schema. However, as a mutation dispatcher with zero annotation coverage, it omits effect semantics (destruction, reversibility, auth) that an agent would need before invoking 'remove'.

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?

Schema description coverage is 0%, so the description must compensate, and it does: each of the 7 parameters gets a gloss plus required/optional status conditioned on the action, which the schema does not express. It falls short of 5 because units remain ambiguous (size is only 'Size tuple', font_size only 'Font size').

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?

States a specific verb ('Manage') and resource ('text boxes') and enumerates the three sub-operations add/update/remove. It is distinguishable from siblings like manage_labels or manage_components, though it never explicitly contrasts with them.

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 action enum implies three modes but there is no explicit when-to-use guidance, no prerequisites, and no routing advice relative to sibling tools such as add_label or manage_schematic. The agent must infer the dispatch behavior from the parameter list alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.