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get_macro

View the contents of a saved macro to inspect G-code sequences for CNC router operations with FluidNC firmware.

Instructions

View the contents of a saved macro.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesMacro name
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a read operation ('View'), implying non-destructive behavior, but doesn't address other aspects like error conditions (e.g., what happens if the macro doesn't exist), authentication needs, rate limits, or output format. The description is minimal and lacks critical operational context.

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, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded with the core action ('View'), making it easy to parse. Every word earns its place, achieving ideal conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It doesn't explain what 'contents' entail (e.g., code, metadata), potential errors, or how this differs from sibling tools. For a tool with no annotations or output schema, more context is needed to guide effective use.

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?

The input schema has 100% description coverage, with the single parameter 'name' clearly documented as 'Macro name'. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints. This meets the baseline score when schema coverage is high.

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's purpose with a specific verb ('View') and resource ('contents of a saved macro'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_macros' (which likely lists macro names rather than viewing contents) or 'run_macro' (which executes rather than inspects).

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 alternatives. It doesn't mention prerequisites (e.g., needing an existing macro), exclusions, or comparisons to siblings like 'list_macros' or 'run_macro', leaving the agent to infer usage context independently.

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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