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

The description goes beyond the readOnlyHint annotation by detailing what data is returned: latest stable release (with tag, name, date, prerelease flag, release notes, assets with download counts) plus recent releases. It also discloses an important behavioral edge case: fallback to git tags when formal releases do not exist. This adds significant transparency beyond the annotations.

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 two sentences, tightly packed with relevant information. It front-loads the core purpose, then expands on return values and fallback behavior. No filler or redundancy; every clause contributes meaning.

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?

Given the tool has 3 parameters, no output schema, and strong annotations, the description fully compensates by explaining the return contents, the fallback behavior, and the intended use cases. It is self-contained and provides enough context for an AI agent to select and invoke the tool correctly.

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?

Schema coverage is 100%, so parameters (owner, repo, per_page) are already fully described. The description adds only marginal semantic value by mentioning 'recent release history' which implicitly relates to per_page, but it does not elaborate on parameter syntax or specifics beyond the schema.

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 identifies the tool's purpose: retrieving the latest release and release history for a repository. It uses a specific verb ('Get'), names the resource ('releases'), and provides concrete example questions it answers ('what is the latest version', 'when was last released', 'what changed'), making it distinct from sibling tools like get_repo or get_file_contents.

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 explicit usage context: it is the 'canonical way' to answer release-related questions and mentions fallback behavior for repositories that only use git tags. It does not explicitly name alternative tools, but the use cases are clearly scoped, and the fallback note helps decide when this tool is still appropriate.

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