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

With no annotations, the description carries the full burden. 'Lists' indicates a read-only enumeration and the examples clarify what kinds of items are included. However, it does not mention return format, ordering, pagination, authentication needs, or whether the listing includes all available tools or a filtered subset.

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 a single, front-loaded sentence with no filler. The examples add useful specificity without bloating the text.

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-parameter, no-output-schema list tool, the description is sufficient to understand its basic function. The term 'micro-tools' is slightly ambiguous, but the parenthetical examples clarify the scope. No critical calling context appears missing.

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 has zero parameters and an empty input schema, so there is nothing for the description to clarify. A baseline score of 4 is appropriate when parameter space is empty.

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?

Description states a specific verb ('Lists') and a specific resource ('micro-tools'), with concrete examples (title, meta, canonical, OG, JSON-LD). It is distinct from sibling list_tabs by naming a different resource type, though it does not explicitly differentiate from get_tool.

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?

No explicit guidance on when to use this tool versus alternatives such as get_tool or api_index. The listing behavior implies discovery/enumeration, but there are no clear conditions, exclusions, or pointers to sibling tools.

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