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why_mft

Explains the deflationary mechanics and impact story of the MfT token, and how to get maximum exposure.

Instructions

The pitch: why MfT is the token to buy. Explains the deflationary mechanics, impact story, and how to get maximum exposure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as read-only nature, side effects, or permissions. It only describes content, not safety or performance characteristics, leaving the agent to assume it's safe but without confirmation.

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?

Two sentences, front-loaded with the key purpose, and each sentence adds value with specific topics (deflationary mechanics, impact story, exposure). No fluff.

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?

Given no output schema or annotations, the description covers purpose and content adequately but lacks details on output format (e.g., text, markdown) or interaction model. For a simple informational tool, this is minimally complete.

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?

The tool has zero parameters, and schema coverage is 100% trivially. The description adds no parameter information, but the baseline is 4 for tools with no parameters, and there is no need for compensation.

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 provides a pitch explaining why MfT is the token to buy, covering deflationary mechanics, impact story, and exposure strategies. The verb 'pitch' and topic are specific, distinguishing it from sibling tools like mft_price or tokenomics_metrics.

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 explicit guidance on when to use this tool versus alternatives. The description implies use for persuasive/educational content but lacks 'when not to use' or references to sibling 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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