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fahali_get_visual_intelligence

Get a unified snapshot of all 18 detection engines as interactive graph nodes with inter-node flows, vortex metadata, and market context.

Instructions

Get the visual intelligence constellation — a unified snapshot of all 18 detection engines rendered as interactive graph nodes. Returns nodes (symbol, radius, glow intensity, status, stress, ETF exposure, gamma exposure, institutional flow, trigger event), inter-node flows (source, target, value, velocity), vortex metadata (active, intensity, gravitational pull, label), signal strength, and market context. Covers ALL 18 engines in one snapshot. Public data — no tier required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries full burden. It details the output structure comprehensively, including nodes, flows, vortex metadata, etc. The 'Public data — no tier required' statement clarifies access. However, it does not explicitly confirm read-only behavior or mention potential rate limits or side effects.

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?

The description is two sentences, front-loaded with the main purpose. The first sentence clearly states the tool function and output. The second lists details, which is informative but slightly verbose. Could be trimmed but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and no output schema, the description provides a complete picture. It enumerates all return components (nodes, flows, vortex metadata) and notes coverage scope and access tier. No missing critical info for a get-snapshot tool.

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

Parameters4/5

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

There are no parameters, so schema coverage is 100%. The description adds value by explaining that the tool returns a full snapshot of all 18 engines without filters, which goes beyond the empty schema. Baseline 4 is appropriate.

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 the tool retrieves a unified snapshot of all 18 detection engines, specifying concrete output elements (nodes, flows, vortex metadata). It distinguishes from siblings like fahali_get_market_sentiment by emphasizing comprehensive coverage and public access no tier required.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use cases as a holistic overview, mentioning 'unified snapshot' and 'all 18 engines'. It provides a clear context but does not explicitly exclude scenarios or name alternatives. The 'no tier required' note adds practical guidance. Slight gap in explicit when-not.

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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