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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the 'current' recency signal and the 'one public section' scoping limit, but says nothing about result count, ordering, or pagination beyond what the output schema would carry.

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 with the scoping constraint front-loaded and no filler; every clause 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 an output schema present, return shape needn't be explained, and the description covers both recency and valid section sourcing. It is nearly complete for a one-parameter list tool, missing only hints about result volume or ordering.

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 0% and there is no enum, so the description carries the load: it specifies the sole parameter must be drawn from livescience_sections. That is a genuinely useful constraint absent from the schema, though the expected value format (slug vs. display name) remains unspecified.

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 ('Current Live Science headlines') and bounds scope to 'one public section'. It is clear what it returns, though it doesn't explicitly distinguish itself from livescience_news or livescience_article beyond the section scoping.

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?

'section must come from livescience_sections' is an explicit dependency that tells the agent where to get valid input, effectively routing it to the sibling. It stops short of saying when to use headlines vs livescience_news, but the sourcing constraint is concrete guidance.

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