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

Annotations already cover the safety profile (readOnly, non-destructive, openWorld), so the description's added value is the cost note ('Free') and the enumeration of returned entry fields plus the scope enum values. This is useful context beyond structured data, though it omits anything about pagination or ordering.

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, front-loaded with the scope-defining purpose before the field list and the trailing cost note. Dense but every clause carries information; no filler.

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-argument list tool with no output schema, the description sensibly enumerates the returned fields and scope values and flags the cost, which is what an agent needs. Minor gaps are pagination/ordering behavior, which are not covered anywhere.

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 takes zero parameters, so per the rubric the baseline is 4. The description's field listing (id, name, description, scope, live_version, pending_version) describes outputs rather than, but with no inputs there is nothing further to document.

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?

States a specific verb ('List') and a precisely scoped resource ('skills this workspace's people wrote themselves'), then disambiguates the exact subsets returned (caller's personal skills and the team's skills). This distinguishes it from the sibling hyreflow_skills_list/hyreflow_skill_search, which cover non-custom skills.

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 scope wording ('people wrote themselves', personal vs org) implicitly tells the agent when this tool applies rather than hyreflow_skills_list, but there is no explicit when-to-use or when-not-to-use statement and no named alternative. Usage is inferable but not spelled out.

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