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

With no annotations, the description carries the full burden and does disclose real behavior: a four-state lifecycle, the fact that measurement data only exists after the 'measured' state, and the two distinct counting contexts (loaded on demand vs. present in every prompt). It stops short of stating that this is a non-mutating read, what an unknown or malformed id returns, or whether a 'refused' skill still returns partial details.

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?

All content sits in one long compound sentence that buries the core action and trails into a loosely connected clause ('and what it did loaded that way and in every prompt, with the notebooks it rests on'). It is dense but readable; splitting the lifecycle from the metrics and front-loading the fetch action would make it far easier to scan.

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 one-parameter read tool with no annotations and no output schema, the description does the heavy lifting by enumerating the returned dimensions, which is exactly what an agent needs to judge relevance. The remaining gap is error/edge behavior for unknown ids and the ordering dependency on opsin_bring_skill, which is only covered indirectly by the schema.

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 100%: the single parameter's type, 16-hex pattern, and origin ('The id opsin_bring_skill returned') are all documented in the schema. The description restates 'by its 16-hex id' without adding syntax or sourcing detail beyond that, so the baseline of 3 applies.

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 resource (a skill a builder brought) and enumerates exactly what is returned: lifecycle state (waiting to be read, refused with the reason, being measured, measured) plus per-task measurement data. The verb is only implied ('by its 16-hex id'), and nothing distinguishes it from the sibling opsin_bring_skill, whose relationship appears only in the schema's id description rather than in the description itself.

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?

There is no explicit when-to-use statement and no alternative named. The lifecycle enumeration hints that this is the lookup you run after a skill exists, but the description never says 'use opsin_bring_skill to create, then this to inspect' or what to do when a skill is not yet measured.

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