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

No annotations are provided, so the description carries the full burden. It adds genuinely useful interpretive context (study summaries rather than treatment claims; device/coil Hz is a study setting, not a library tone), but it does not confirm read-only behavior, ordering, or pagination/return behavior for this list 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?

Three short sentences with the core action front-loaded and no filler. The two caveat sentences are dense but each carries distinct semantic content, so little is wasted.

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 simple single-parameter list tool with no output schema, the description covers what the content is and how to interpret it, which is the main risk here. Minor gaps remain around result ordering and default page size, but the essential interpretive context is present.

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% and the single 'limit' parameter is fully documented in the schema with range and default. The description adds no parameter detail beyond that, so the baseline of 3 is appropriate.

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 and resource ('List published Frequency Healing News notes') and immediately scopes the content type. It distinguishes this content from the KYMA library tone domain, but never names which sibling tool to prefer for related searches, so sibling differentiation is only partial.

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 implied by the content definition (browse published news notes), but there is no explicit when-to-use, when-not-to-use, or alternative such as search_content or list_healing_guides. The agent must infer the retrieval context on its own.

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