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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered by structured data. The description adds value by enumerating the five data categories returned, but says nothing about scope (whose company, permission requirements, whether figures are real-time or cached).

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 that front-loads the concept ('the company at a glance') and then lists the concrete contents. No filler, no redundancy with the title.

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 no output schema, the description carries the burden of describing return content and does so by naming the five sections an agent will receive. The only gap is scope/freshness context, which matters little for a zero-parameter read-only snapshot.

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; there is nothing for the description to disambiguate. The empty schema is consistent with the description's framing as a parameterless snapshot call.

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 a specific resource (company overview in PapaHR) and enumerates exactly what it surfaces: headcount, departments, open vacancies, who is away today, pending approvals. That lets an agent distinguish it from point-lookup siblings like find_people or time_off, though it never explicitly frames itself as the aggregate/dashboard alternative to those tools.

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?

Usage is only implied by the phrase 'at a glance' — an agent can infer this is the fast orientation call before drilling into siblings, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. 'use pending for the full approval list').

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