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

Annotations already cover safety (readOnlyHint true, openWorldHint false), and the description adds the return shape: guide title, short answer and link, which matters because there is no output schema. It says nothing about result counts, ranking, or what happens when no guide matches, so behaviour on an empty result is unknown.

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?

Front-loads the trigger condition and example questions before the topic inventory, so the most decisive information comes first. The topic list is dense but earns its place as retrieval vocabulary; nothing is obviously redundant.

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 lookup with no output schema, the description covers the trigger, the input form, and the return contents. The remaining gap is disambiguation from topical siblings such as unemployment_benefits_by_state and score_resume, which it never addresses.

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?

With one parameter at 100% schema coverage, the schema already explains the argument. The description's example phrasings largely duplicate the schema's own example ("how do I negotiate severance") and add no new syntax or formatting rules beyond confirming natural-language questions are expected.

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 and resource ("Finds NextChapter’s plain-language guides on layoffs and job search") and enumerates the covered topics. The enumeration carves out a recognisable scope, but it also overlaps sibling territory ("unemployment", "resumes and ATS") without saying how it differs from unemployment_benefits_by_state or score_resume.

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?

Opens with an explicit trigger condition ("Call this when someone asks how to handle a job loss or job search") reinforced by three sample queries. It gives no when-not guidance or named alternatives, so the agent must infer boundaries from the topic list alone.

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