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IamOumarIbrahim

SpectraMCP

mvdr_beamform

Apply adaptive Capon/MVDR beamforming with diagonal-loading stabilization to suppress interference and enhance signals from desired directions in RF array processing.

Instructions

Adaptive Capon/MVDR beamformer with diagonal-loading stabilization for rank-deficient snapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNolast_loaded
angles_degNo
diagonal_loadingNo

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 bears full responsibility. It states the algorithm and stabilization technique but lacks details on side effects, output structure, or state changes.

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 containing all essential information without fluff, efficiently conveying the tool's nature.

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?

The description covers the algorithm but omits parameter guidance, usage context, and output details. Given three parameters and no annotations, it is insufficient for effective tool selection and invocation.

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

Parameters2/5

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 (source, angles_deg, diagonal_loading) beyond their names, failing to add meaning.

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 specifies the exact algorithm (Capon/MVDR) and a key feature (diagonal-loading stabilization for rank-deficient snapshots), clearly distinguishing it from sibling tools like compute_fft or range_doppler_map.

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?

No explicit when-to-use or alternatives are mentioned. The description implies it is for beamforming with diagonal loading, but does not guide the agent on scenarios or contrast with other signal processing tools.

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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