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IamOumarIbrahim

SpectraMCP

kalman_track

Tracks objects across sequential frames by associating detections with a constant-velocity Kalman filter, accounting for process and measurement noise.

Instructions

Constant-velocity Kalman tracker associating detections across sequential frames.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detectionsNo
process_noiseNo
measurement_noiseNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must fully disclose behavior. It mentions constant-velocity but does not elaborate on limitations, state representation, multi-target handling, or output format, leaving significant behavioral gaps despite an existing output schema.

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 concise sentence but is arguably under-specified for the tool's complexity. It could include more detail without becoming verbose.

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 three parameters with no schema descriptions and an output schema omitted, the description fails to cover usage context or results, making it incomplete for an agent to invoke correctly.

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 fails to explain any parameter. 'detections' format, 'process_noise', and 'measurement_noise' are left undefined, forcing the agent to infer or guess their 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 clearly states it is a 'constant-velocity Kalman tracker' that 'associates detections across sequential frames,' which is specific and distinguishes it from sibling tools like 'ca_cfar_detect' or 'range_doppler_map' that focus on detection rather than tracking.

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?

No guidance is provided on when to use this tool versus alternatives, such as prerequisites (e.g., having detections from earlier tools) or scenarios where constant velocity assumption is inappropriate.

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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