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

With no annotations, the description does carry some behavioral context: it is a read-style fetch of public content returning token-efficient Markdown. However, it does not disclose error behavior, truncation/pagination, rate limits, or authentication expectations beyond 'public'.

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?

A single front-loaded sentence that clearly names the action, the content scope, and the output format. There is no filler or redundant 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 simple one-parameter fetch tool with full schema coverage, the description is mostly complete: it establishes the public-page scope and Markdown return format. Minor gaps remain around error cases and large-page behavior, but no output schema is present and the key call semantics are clear.

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 single path parameter is fully documented in the schema, including canonical URL path examples, so the schema already handles parameter semantics. The description adds no parameter-specific meaning beyond what the schema provides, making the baseline 3 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, resource, and return format: fetching a clean Markdown representation of public DokiTab pages. It enumerates page types (hub, calculator, blog guide), making the tool's role distinct from calculation siblings.

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 scope 'any public DokiTab page' implies when this tool is appropriate, but there is no explicit when-to-use/when-not-to-use guidance or direct comparison to sibling calculator and lookup tools. Selection is therefore inferable rather than clearly guided.

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