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get_latest_digest

Get the daily GitHub digest with AI-analyzed open-source trend summaries and complete field data. Free to use, no API key or wallet required.

Instructions

The most recent completed daily GitHub digest with full fields — LLM-analyzed open-source trend summary (GET /v1/digests/latest). FREE, no wallet or API key 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 the burden of behavioral disclosure. It states the operation is a read of the latest completed digest, implies data freshness, and explicitly notes the absence of authentication/cost requirements. It does not mention potential cases like no completed digest existing or rate limits, but for a simple read-only tool, it provides solid transparency.

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 a single sentence that front-loads the core purpose, then adds the endpoint and cost/auth details. Every word earns its place, with no redundancy or fluff. It is highly efficient and well-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?

For a tool with no parameters and no output schema, the description provides sufficient context: what it returns (latest digest with full fields), the nature of the content (LLM-analyzed trend summary), and access requirements (FREE, no key). It could elaborate on the exact structure of 'full fields', but given the simplicity and sibling context, this is adequate.

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 input schema has zero parameters, so description has no parameter burden. The baseline is 4 for zero-parameter tools. The description adds no parameter details because none exist, which 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 identifies the tool as returning 'the most recent completed daily GitHub digest with full fields' and specifies it's an 'LLM-analyzed open-source trend summary'. It includes the endpoint 'GET /v1/digests/latest' which removes ambiguity. This distinguishes it from siblings like get_digests (likely a list) and get_sample/brief (likely partial fields).

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 provides clear usage context: use this tool to retrieve the latest daily digest, specifically highlighting that it is 'FREE' and requires 'no wallet or API key'. This signals it's safe to call without complex setup. However, it does not explicitly mention when to avoid it or name alternative tools, so it misses the 'when-not/alternatives' level.

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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