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

With no annotations, the description carries the full behavioral burden and does a solid job: it explains the result is a hub/spoke cluster graph, enumerates included fields, warns that article bodies are absent, and notes the content is always free. It does not cover pagination, ordering, or response size, but zero-parameter full listing makes those less critical.

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?

Two dense sentences, with the primary purpose front-loaded and every clause carrying relevant information. The field list and body-content caveat earn their place without padding.

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 output schema, the description compensates by listing the exact available fields and the body-return exclusion, and it provides enough direction to fetch bodies elsewhere. Minor ambiguity remains in what 'cluster-first hub/spoke graph' means structurally, but an agent can still invoke the tool successfully.

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, so there is nothing for the description to clarify beyond confirming no required inputs. Baseline 4 applies because no params exist.

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 clearly identifies the tool as listing editorial guides, states the resource is ChangeGamer's free editorial corpus, and differentiates it from the licensable corpus and from get_article body retrieval. It names the specific output fields, so an agent knows the exact resource and scope.

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 description explicitly says this tool returns metadata only and directs the agent to get_article for body content. It also separates the editorial guides from the licensable corpus, so an agent can decide around other corpus-listing siblings. It does not explicitly enumerate all sibling alternatives, but the exclusions given are substantive.

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