get_skill_bundle

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

With no annotations, the description carries the behavioral burden and does a good job: it discloses the source (GitHub), the validation step, the fallback behavior on failure (local cache), and the return form (short-term signed link). It does not mention auth, rate limits, or side effects, but these are not strongly implied by the operation.

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 compact sentence with no filler. It front-loads the core fetch-and-validate behavior, then states the fallback and return value. Every clause adds meaningful information.

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?

The core behavior and return shape are covered, and the presence of an output schema reduces the need to explain return details. However, with no annotations and no parameter-level documentation, the description leaves important gaps around skill_id semantics, prefer_github's effect, and when this tool should be selected over its siblings.

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 description coverage is 0%, so the description needed to compensate for documenting skill_id and prefer_github. It does not explicitly define either parameter; prefer_github is only indirectly implied by GitHub-first behavior, and skill_id is left entirely to the schema's name. 'Fixed commit' is also not clearly mapped to any parameter.

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 names a specific verb and resource: it fetches and validates a skill bundle from GitHub by a fixed commit, falls back to local cache, and returns a short-term signed link. This clearly separates it from sibling tools like get_skill_card or get_skill_content, which target different resources or operations.

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 explains what the tool does but gives no explicit guidance on when to use it versus siblings such as get_skill_content, check_compatibility, or diff_skill_versions. There are no conditions, exclusions, or alternative recommendations; the intended use case is only vaguely implied by the GitHub/cache fetch behavior.

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