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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the shape of the result (slug, kind, last-checked date) and asserting completeness via the word 'Every', which helps the agent reason about return values without an output schema.

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 packs in the resource scope and the three returned fields with zero filler. Nothing is wasted or deferred.

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 zero-parameter listing tool with no output schema, the description covers the essentials by describing the returned fields, and 'Every' implies there is no pagination to worry about. Minor gaps remain: no statement of ordering or result-size expectations, and no hint of what an agent typically does next with the slugs.

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 tool takes zero parameters, which is the baseline-4 case, and the schema is empty by design (additionalProperties: false). There is nothing further the description needs to document.

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 exact resource (every company The Fine Print covers) and enumerates the fields returned: slug, kind (subscription or retailer), and last-checked date. It is clearly distinguishable from get_policy and list_policy_changes, though it never explicitly contrasts itself with those siblings.

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 purpose implies a discovery/enumeration use case (e.g., to obtain slugs for get_policy), but the description never states when to call this versus the sibling tools or gives any prerequisite. Usage is inferred rather than directed.

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