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

No annotations are supplied, so the description carries the full burden. It usefully explains that the description text is the only thing the agent sees until the skill loads, which is real behavioral context. However, it says nothing about name-collision/overwrite behavior, permissions, or whether the call is idempotent.

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?

One dense, front-loaded sentence with each parameter enumerated in order and no filler. The parenthetical about what the agent sees is long but earns its place by explaining why the description field matters.

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 four-parameter mutation tool with no annotations and no output schema, the description covers inputs well but omits return/confirmation behavior and failure modes such as duplicate names. It is adequate but leaves gaps an agent would want before invoking a write operation.

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 0%, so the description must compensate, and it largely does: it documents all four parameters, including format expectations (kebab-case name, markdown body_md) and the shape of files as {path: content}. It does not state size limits or whether files must be text-only beyond 'optional extra text files'.

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 (create) and resource (skill) with scope ('for ai_agent steps'). It is clearly distinguishable from skill_update/skill_get/skill_list siblings by the verb, though it never names an alternative explicitly.

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?

Usage is only implied through the context of creating skills for agent steps; there is no explicit guidance on when to create a new skill versus using skill_import or updating an existing one. The note that 'description' is what the agent sees until loading is helpful but is about the field, not tool selection.

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