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load_primitives

Load cell primitives from built-in libraries (Xilinx, Yosys) or a custom Python file to define primitives for netlist elaboration.

Instructions

Load primitives: built-in by name ('xilinx'|'yosys') or a Python file defining load(db).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileNo
nameNo
Behavior2/5

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

No annotations provided; description only states the action and sources, lacking details on side effects, permissions, error handling, or what happens if both parameters are given.

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?

Single sentence with clear, front-loaded purpose. Every word is informative, no redundancy or irrelevant detail.

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?

Essential functionality is described, but lacking details about what primitives are, preconditions, or return behavior. Without output schema, more context would be beneficial for a complete understanding.

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 coverage is 0%, but description adds value by specifying valid built-in names for 'name' and the expected interface for 'file' (a Python function). Still does not explain type constraints or mutual exclusivity fully.

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?

Clearly states the tool loads primitives via two methods: built-in by name (enumerating 'xilinx' and 'yosys') or from a Python file. This distinguishes it from sibling load tools for different data types.

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

Usage Guidelines3/5

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

Implies two usage modes but provides no guidance on when to choose one over the other, nor any comparison with other load tools (load_liberty, load_verilog, etc.).

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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