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get_public_digest

Get today's Web3 public digest covering macro news, KOL sentiment, and market data. Choose Chinese or English output; no personal data needed.

Instructions

Get today's Web3 public digest with macro news, KOL sentiment, and market data. No personal data required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoOutput language: zh (Chinese) or en (English)zh
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the public nature and lack of personal data, which is useful, but doesn't mention any auth requirements, rate limits, or return format. For a simple read tool, it provides adequate but not rich behavioral context.

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 concise sentences, front-loaded with the primary action and content. No wasted words; effectively structured.

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?

The tool has one optional parameter and no output schema. The description covers the digest content well and implies a read-only operation. It lacks explicit return format details, but for a simple public digest, the description is complete enough.

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 schema fully describes the single parameter (language) with enum and default. The description adds no extra parameter semantics, but schema coverage is 100%, so baseline 3 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 'today's Web3 public digest' with specific content types (macro news, KOL sentiment, market data). The word 'public' and 'No personal data required' directly differentiate it from get_personalized_digest, and the content list distinguishes it from market overview and wallet profile.

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 usage for general public digest needs without personalization, explicitly noting 'No personal data required'. While it doesn't name alternative tools, the 'public' vs 'personalized' contrast provides clear context for when to choose this tool.

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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