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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is fully covered elsewhere. With no output schema, the description's field list (slug, title, topic, excerpt, tags) is the only disclosure of what the call returns, which is genuinely useful. It says nothing about result volume, ordering, or pagination behavior for a list endpoint, leaving that gap unaddressed.

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 plus a short routing clause, with the resource and return fields front-loaded and nothing redundant. Every clause carries information: subject matter, record fields, and the follow-up 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?

For a two-optional-parameter list tool with no output schema, the description covers what the tool returns and how to follow up with a single-article fetch. The language fallback behavior and pillar filter are handled by the schema, so the remaining omission is pagination or result-size expectations. That is a minor gap rather than a blocking one.

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%, with both lang and pillar documented in the schema itself, so the baseline is 3. The description adds only the parenthetical 'topic (pillar)', which maps the pillar filter to the conceptual topic field, and the subject-matter examples that hint at valid pillar values. That is marginal added meaning rather than substantive compensation.

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 the resource (FreshCheck short articles) and enumerates its subject matter and the fields each record carries (slug, title, topic/pillar, excerpt, tags), so an agent knows exactly what comes back. It clearly separates itself from freshcheck_get_article by pointing at it for single-item reads. It does not explicitly distinguish itself from freshcheck_list_produce, which overlaps conceptually with the 'choosing produce' content mentioned here.

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 closing sentence 'Read one with freshcheck_get_article' gives explicit routing to the sibling tool for single-article retrieval, which is the main alternative an agent would consider. There is no explicit 'when not to use' statement or guidance on whether this is a browse-all call versus a filtered search, but the usage context is clear enough to act on.

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