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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and open-web profile is known. The description adds that only a single section is served per call and that the section must be a public one sourced from nypost_sections, but says nothing about freshness, pagination, or volume of headlines returned.

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 states the resource, the scope, and the parameter constraint with no wasted words. Ideal size for a one-parameter lookup tool.

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?

An output schema exists, so return values need not be described, and the description covers the operation and the parameter precondition. It is nearly complete for such a simple tool; a hint about how many headlines or how current they are would close the last gap.

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 schema alone gives no guidance for the single "section" parameter. The description partially compensates by stating the value must be drawn from nypost_sections, but it never specifies the accepted format (slug vs. display name) or the full set of valid sections.

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?

The description names a specific verb+resource ("headlines") scoped to the New York Post and to "one public section", which is far more precise than a bare restatement of the tool name. It implicitly distinguishes itself from sibling aggregate feeds like nypost_news, though it never explicitly contrasts with them.

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?

It gives a concrete precondition — the section value must come from nypost_sections — which routes the agent through the correct sibling before calling this tool. It stops short of stating when to prefer headlines over nypost_news or nypost_article, so the when/when-not guidance is incomplete.

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