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FletcherAgent

fletcher-agent

Official

get_consciousness_feed

Retrieve the real-time decision feed from a live Solana trading agent, showing token, confidence, rug probability, and BUY/SKIP verdict with reasoning.

Instructions

Get the real-time agent decision feed (Proof of Consciousness). Each decision shows token, confidence score, rug probability, runner signal, and BUY/SKIP verdict with reasoning

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent decisions
Behavior3/5

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

No annotations exist, so the description carries full burden. It discloses return content but lacks details on side effects (none expected for a read), authentication requirements, rate limits, or data freshness guarantees. Adequate but not exceptional.

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, front-loaded with the core purpose, no fluff. Every word contributes value.

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

Completeness4/5

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

Given the tool's simplicity (one parameter, no output schema), the description adequately covers what the feed returns. Missing an example output format, but not critical for a straightforward list tool.

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 sole parameter 'limit' has 100% schema description coverage ('Number of recent decisions'). The description does not add additional meaning beyond the schema, so baseline 3 applies.

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 the 'real-time agent decision feed (Proof of Consciousness)' and enumerates the fields included (token, confidence, rug probability, etc.). It effectively distinguishes from sibling tools like get_agent_dna or get_agent_status, which have different purposes.

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?

The description implies real-time monitoring but does not explicitly state when to use this tool versus alternatives like get_trade_history or get_signals. No exclusion criteria or comparative guidance is provided.

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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