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1622352030

lab-equipment-mcp

by 1622352030

agilent33500b_set_output_load

Set the output load impedance for an Agilent 33500B signal generator to match your circuit, using ohms or null for high impedance, with output disabled.

Instructions

Set the expected load in ohms, or null for high impedance, with output disabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
load_ohmsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations are all false, so the description carries the behavioral disclosure burden. It reveals that output should be disabled before setting the load, which is a valuable behavioral trait. However, it doesn't state what happens if the output is already enabled, whether the setting is persistent, or any side effects. This is partial transparency, not comprehensive.

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?

A single, front-loaded sentence with no fluff. Every word contributes to meaning: the verb, the resource, the unit, the null case, and the precondition. This is exemplary conciseness.

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?

For a single-parameter setter with an output schema, the description covers the essential information: what is set, the parameter meaning, and the precondition. It doesn't mention valid ranges or error behavior, but these are less critical given the simple nature of the tool and the presence of an output schema. The description is mostly complete, though it could add a note about typical values or errors.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameter. It fully does: 'in ohms' gives the unit, and 'or null for high impedance' clarifies the null case. This is exactly the semantic meaning an agent needs, especially since the schema only says 'number or null' with no description.

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 uses a specific verb ('Set') and resource ('expected load') with clear scope: setting output load in ohms or high impedance via null. It clearly distinguishes from sibling tools like agilent33500b_set_output (which toggles output) and the SDG equivalent by including the device-specific naming and the 'with output disabled' context.

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?

The phrase 'with output disabled' provides a precondition/context for when this tool should be used, but there is no explicit guidance on when to use this instead of alternatives (e.g., agilent33500b_set_output) or any exclusions. Usage context is implied rather than fully articulated.

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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