run_dc_op
Run a DC operating point analysis on a specific circuit to determine its steady-state voltages and currents.
Instructions
Run DC operating point analysis on a stored circuit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| circuit_id | Yes |
Run a DC operating point analysis on a specific circuit to determine its steady-state voltages and currents.
Run DC operating point analysis on a stored circuit.
| Name | Required | Description | Default |
|---|---|---|---|
| circuit_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate idempotentHint=true and destructiveHint=false. The description adds no additional behavioral context beyond 'run', such as side effects or state changes. With annotations present, the description is adequate but does not enhance transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of 9 words, front-loaded with the essential action and context. No extraneous information; every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the tool having only one parameter and no output schema, the description omits critical context: what the analysis returns or how to interpret results, and any prerequisites (e.g., the circuit must exist). This leaves the agent underinformed for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, and the description does not explain the 'circuit_id' parameter or its role in identifying the circuit. The agent cannot infer the meaning or constraints of this parameter from the description alone, which is a significant gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Run'), the resource ('DC operating point analysis'), and the context ('on a stored circuit'). It effectively distinguishes from sibling tools like run_ac_analysis and run_transient, which perform different analyses.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for DC operating point analysis but offers no explicit guidance on when to use it versus alternatives, no prerequisites, and no exclusion conditions. The agent must infer context from the tool name and sibling list.
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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