get_github_digest

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the frequency, the time window, the rate limit (1 request per 5 minutes), and that it is free with no API key required. It does not describe the output structure or whether it returns raw data or a formatted digest, but the phrase 'AI analysis' and 'organized by category' gives some indication. Given the absence of annotations, this is solid disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured paragraph that front-loads the core purpose first, then adds operational details (schedule, rate limit, cost). Every sentence provides valuable info: purpose, content specifics, frequency, and requirements. It is concise with no filler or redundancy, making it easy for an agent to scan and extract key facts.

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

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

For a no-parameter, no-output-schema tool, the description covers all essential aspects: what it does, when it runs, how often, and access constraints. It does not detail the exact output format, but that may be acceptable for a digest that is likely a human-readable summary. The presence of sibling tools like get_github_repos and get_github_history suggests some overlap, but the description's focus on 'trending repos digest' differentiates it sufficiently. It is largely complete for an agent to decide whether to call it, though minor gaps exist around output specifics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. The description adds semantic meaning about what the tool returns (a digest of GitHub trending repos, analysis, categories, language trends, notable projects) which helps an agent understand the tool's behavior even though no parameters exist. This exceeds the baseline by enriching context without any parameter documentation needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Get'), a clear resource ('GitHub trending repos digest'), and the distinctive nature of the content ('AI analysis of newly created repositories gaining traction, organized by category'). It also differentiates from sibling tools by focusing on GitHub specifically, and the phrase 'latest daily' clarifies the scope. This is unambiguous and distinct from the other digest tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides useful operational context: it runs daily at 06:00 UTC, scans repos created in the last 24 hours, and is rate limited. It does not explicitly state 'use this when you need GitHub trending repos' or contrast with alternatives like get_github_repos or get_github_history, but the resource and scope are implied strongly enough and the schedule adds practical guidance. It lacks explicit exclusions, but the clarity of purpose compensates.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.