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

With readOnlyHint and openWorldHint annotations already present, the description still adds meaningful behavioral context: it notes the data is an 'hourly snapshot' (so not real-time) and limited to 'public repos'. This goes beyond the annotations without contradicting them.

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?

Two sentences with no filler: the first defines the tool and its key snapshot constraint, the second provides concrete usage cues. Every word earns its place.

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 zero-parameter, read-only tool with no output schema, the description covers the main concerns an agent needs: what it returns, its scope, its freshness, and when to ask for it. It does not describe exact output shape, but the simplicity of 'commit history' makes that less critical.

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 input schema has zero parameters, so the baseline is 4. The description does not attempt to describe parameters because none exist, and the empty schema is already 100% covered by the schema itself.

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 clearly states the exact resource ('commit history across the owner's public repos') and the operation ('get recent'). It adds a distinctive detail ('hourly snapshot') and pairs it with concrete example questions, making it easy to tell apart from sibling tools like get_timeline or get_articles.

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?

It explicitly gives two query types it should be used for: 'what has he been building lately' and 'show the hardest bugs he has fixed'. It does not state when not to use it or name alternative sibling tools, so it falls just short of a 5.

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