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

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower. The description adds real context beyond them: it enumerates the returned fields and points the agent to apiUrl for the article body, which is a behavioral hint about a follow-up call. It omits pagination behavior, which the limit cap implies but never explains.

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 dense sentence with a semicolon: content scope first, then the field list, then the apiUrl follow-up. No filler, and the most decision-relevant information is front-loaded.

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 naming the returned fields and telling the agent where the full body lives, which is exactly what is needed to call and then use the result. Nothing essential for correct invocation is 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?

Schema description coverage is 100% for the single 'limit' parameter, so the schema already explains the 1-50 range and default. The description adds no syntax, ordering, or filtering detail 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 and resource ('List published ElectroGen AI news articles') and scopes it with concrete content types (DIY electronics guides, product updates, release notes). The 'published' qualifier and enumerated topics make it clearly distinguishable from unrelated siblings like list_public_projects or get_component_products.

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 name and the 'published' scoping, and the description indirectly guides follow-up by saying to fetch apiUrl for the full body. However, it never states when to prefer this over other listing tools or any preconditions/exclusions, so the routing guidance is only inferable.

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