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scan_trader_personas

Identify traders by behavioral archetype—whale accumulator, yield farmer, arbitrageur, early mover, or resolution sniper. Returns structured JSON with matching traders and evidence.

Instructions

Find traders matching a specific behavioral archetype across the platform. Returns structured JSON with matching traders and evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
personaYesThe trader archetype to scan for
limitNoMax number of traders to return
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 states that the tool returns 'structured JSON with matching traders and evidence,' but does not disclose any behavioral traits such as authentication requirements, rate limits, or whether the operation is read-only. Without annotations, more detail is expected.

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?

The description is exemplary in conciseness—two sentences, front-loaded with the verb, and contains no extraneous information. Every word adds value.

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 simple tool with 2 parameters and no output schema, the description covers the basic purpose and return type. However, it lacks detail on the exact structure of the returned JSON and does not compensate for the missing output schema. A bit more context would improve completeness.

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?

The input schema has 100% description coverage, with both parameters documented. The description does not add additional semantic meaning beyond the schema (e.g., explaining the enum values or the limit's default). Baseline 3 is appropriate given the schema's completeness.

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 clearly states the action ('Find') and the resource ('traders matching a specific behavioral archetype'). However, it does not differentiate from the sibling tool 'find_trader_persona', which likely serves a similar purpose. This ambiguity slightly reduces clarity for tool selection.

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?

The description provides no guidance on when to use this tool versus alternatives. It only states what the tool does, without context for when it is preferred or when other tools (e.g., 'find_trader_persona') might be more appropriate.

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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