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

Annotations already cover readOnlyHint and openWorldHint. The description adds useful behavioral context beyond that: the list is fixed at 24 items, verified, and WordPress-specific, which signals stability and trustworthiness. It does not discuss authentication, rate limits, or return format, but the output schema likely covers the latter.

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 sentence that front-loads the count and resource, with no wasted words. Every element—action, count, verification, platform, and intended consumer—earns its place.

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?

With no inputs, an output schema, and readOnly/openWorld annotations, the remaining context an agent needs is the size and reliability of the list plus its intended consumer. The description supplies exactly that without redundancy.

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 the schema coverage is 100%. The description appropriately adds no parameter semantics because there are none to explain.

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 ('List') and resource ('24 verified Daily Kos WordPress category slugs'), and names the consuming sibling dailykos_headlines. This distinguishes it from dailykos_headlines and dailykos_news by clarifying that it returns valid category identifiers, not articles.

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 link to dailykos_headlines gives clear context for when to call this tool: to obtain slugs that other Daily Kos tools accept. It does not explicitly state when not to use it or name alternative sources, so it falls short of full routing guidance.

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