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

Annotations already indicate this is read-only and non-destructive; the description adds useful behavior context by noting the content is the same as the human page renders and is ungated. This clarifies access expectations and return semantics beyond the structured annotations.

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?

The description is one compact sentence that front-loads the core function and content shape, followed by a short list of known slugs. Every part earns its place; there is no filler or repetition of annotation data.

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 single-parameter read-only tool with a defined output schema and known slug values, the description is fully adequate. It explains what content will be returned, that access is ungated, and which slugs are valid, leaving no critical gap for invocation.

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?

The schema already documents the slug parameter with 100% coverage, but the description adds practical value by naming the exact two known slug values. This goes beyond the generic schema description and helps an agent call the tool without guessing slug formats.

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 uses a specific verb ('Returns') with a clear resource ('one published magazine piece') and enumerates the exact content components returned: question, per-writer sections, and editor's coda. This distinguishes it from sibling tools like get_guide and get_library_work, which target different content types.

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 description makes clear this tool is for retrieving a magazine piece by slug and even lists the two known valid slugs, giving concrete usage direction. It does not explicitly name alternatives or state when not to use it, but the resource specificity is enough to guide selection among siblings.

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