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

Annotations already declare readOnly, idempotent, openWorld, non-destructive, so the safety profile is covered. The description adds genuine context by revealing the scope of the returned editorial content and the citation use case, but says nothing about rate limits, auth, or how missing/ambiguous identifiers are handled.

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 sentences, front-loaded with what the tool returns and then when to reach for it. The return-value enumeration is long but each item is distinct payload content, so it earns its space; only minor trimming would improve it.

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 structure need not be spelled out, yet the description still orients the agent on payload richness and the identifier formats accepted. Nothing needed to call this single-parameter read tool correctly 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 coverage is 100% and the single parameter is self-documented, so the baseline is 3. The description goes beyond it by giving a concrete id example ('46b45d01') and confirming the canonical skimnews.com URL and slug forms are interchangable inputs.

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 ('full SkimNews treatment of one story') and enumerates the payload (summary, why-it-matters, bullets, editorial take, entities, taxonomy, canonical URL), which cleanly separates it from the list-returning siblings get_top_stories and search_stories.

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?

Gives an explicit trigger and ordering: 'Use after get_top_stories or search_stories when a story needs detail or accurate citation.' It names the alternatives and the condition selecting this tool, though it stops short of stating when not to use it.

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