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jacksonnnzzz

leam-opt-mcp

by jacksonnnzzz

compile_reviewed_antenna_model

Compile approved antenna design evidence and assumptions into auditable HFSS artifacts for simulation and parametric optimization.

Instructions

Deterministically compile approved evidence and assumptions into reviewed HFSS artifacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
profileNoauto
assumption_approval_hashYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 burden. It mentions 'deterministically' implying reproducibility, but does not disclose side effects, required permissions, failure modes, or what 'reviewed artifacts' means concretely. This is insufficient for an agent to anticipate tool behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant content, but it is under-specified rather than concise in a helpful way. It is not bloated, yet it omits crucial details that could also be conveyed briefly.

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 presence of an output schema, return values do not need describing, but the tool still lacks context around when to use it, how the assumption approval hash is used, and relationship to sibling approval/build tools. The description is too thin for a 3-parameter tool in a complex pipeline.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain any parameter (job_id, profile, assumption_approval_hash). The agent must rely solely on parameter names, which is not enough to understand formats, defaults, or relationships.

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 uses a specific verb ('compile') and resource ('approved evidence and assumptions') to indicate the tool transforms approved inputs into HFSS artifacts. However, 'reviewed HFSS artifacts' is somewhat ambiguous and does not clearly distinguish this from sibling tools like 'build_hfss_project' or 'build_approved_antenna_pipeline'.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The description only states what it does, not when it should be invoked in the workflow.

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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