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

Annotations already mark readOnlyHint=true and destructiveHint=false, so the description need not repeat that. It adds value by stating the call is project-scoped (no guessing from active pointer) and that it returns the project identity with the result. This clarifies side effects and scope beyond the annotations, though it doesn't detail pagination or response structure. No contradiction.

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 multi-sentence but each sentence earns its place: scope declaration, purpose, source of names, batching advice, and section usage. It is front-loaded with the most critical constraint. Slightly verbose but not wasteful; a 4 is appropriate.

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 read-only tool with three parameters (one enum) and no output schema, the description covers purpose, usage timing, batching, and parameter semantics. It mentions the return of project identity, giving a hint of output. It could specify the exact result shape or whether the skill content is embedded, but overall it provides enough for an agent to call it 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 description coverage is only 33% (only project_id has a description), so the description must compensate. It does: it tells the agent that `name` values come from 'the SKILLS list in your instructions', and it explains the `section` parameter by listing the kind of material it retrieves, mirroring the enum but adding intent. `project_id` is already well described in the schema. This adds meaningful usage context.

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 opens with 'PROJECT-SCOPED: this call acts only on the explicit project_id and returns the project identity with its result', which precisely identifies the resource (editing skill), the action (read/load), and the scope constraint. It clearly distinguishes from sibling tools by framing it as a skill-loading read operation. The mention of the SKILLS list further anchors the resource.

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 gives explicit when-to-use guidance: 'Read the matching skill before your first edit of that kind' and advises batching with other reading calls. It also explains the optional `section` parameter to narrow the load, effectively telling the agent what to pass and when. This is clear operational direction without ambiguity.

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