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Nsc Get Object Parameter

zemax_nsc_get_object_parameter

Retrieve a type-specific parameter value from a non-sequential (NSC) object in Zemax OpticStudio using its object number and parameter column.

Instructions

Get a type-specific NSC object parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parameterYesOne-based parameter column
objectNumberYesOne-based object number

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a safe read, and 'type-specific' hints that valid parameter indices depend on the object type, but the description says nothing about error behavior for invalid object numbers or out-of-range parameters, nor whether the returned value's type/units vary. Significant gaps for a tool with zero structured behavioral coverage.

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?

One short, front-loaded sentence with no filler. It is efficient, though it borders on under-specification rather than true conciseness.

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?

For a two-parameter read tool with 100% schema coverage and no output schema, the description is close to sufficient. It still leaves an agent guessing how to obtain a valid object number and how parameter indices map per object type, which the 'type-specific' phrasing raises but does not answer.

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 100%: both parameters are fully documented as 'One-based parameter column' and 'One-based object number'. The description adds mild value with 'type-specific', signaling that the meaning of the parameter index depends on the object type, but it provides no concrete mapping or examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Get') and resource ('type-specific NSC object parameter'), which is precise enough to distinguish this from most siblings like zemax_nsc_get_object or detector tools. However, it never names the obvious counterpart (zemax_nsc_set_object_parameter) or explains what makes a parameter 'type-specific', so differentiation rests on the name alone.

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?

There is no when-to-use guidance, no prerequisite (e.g. requiring a valid object number from a prior get/list call), and no routing to alternatives such as zemax_nsc_get_object or zemax_nsc_summary. The agent must infer usage entirely.

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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