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

Annotations already declare readOnlyHint, idempotentHint, and closed-world behavior, so the safety profile is covered. The description adds real context beyond them: it discloses the actual content payload (free trial duration, exact price, publishing steps) and confirms 'No input', which tells the agent this is a static informational call.

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 delivering subject, contents, and the no-argument fact with zero filler. Every clause earns its place.

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-param, no-output informational tool this covers what the agent needs. A minor gap is not indicating whether the pricing/steps content is authoritative or static, but nothing required for correct invocation is missing.

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 zero parameters, the baseline is 4, and the description explicitly states 'No input', removing any ambiguity about whether arguments are expected. Nothing further is needed.

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 (AgentDNA, its pricing, and the publishing steps) with the verb 'explains', making the informational nature unambiguous. It is clearly distinguishable from sibling action tools like agentdna_start_trial and agentdna_search_products.

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 scope (company catalogs for AI agents, price, publishing steps) implies the natural use case: answering orientation/pricing/onboarding questions before invoking the action tools. It does not explicitly say 'call this before start_trial' or name exclusions, which keeps it below a 5.

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