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

The annotations already declare readOnlyHint=true and openWorldHint=false, covering the safety and scope assumptions. The description goes beyond to clarify the tool's output is a full capability list and it is the authoritative source ('from the product itself'). However, it does not disclose any specific behavioral traits such as response length, whether it might be truncated, or how structured the answer is. Given the annotation coverage, the description adds moderate but not crucial behavioral context.

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 succinct, with a leading phrase ('The full capability picture') that immediately conveys the core message. It then lists features to give concrete evidence of scope, and finishes with a clear usage directive. It is a bit longer than strictly necessary, but every sentence adds value, and the structure is logical and front-loaded.

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?

Given that the tool has no parameters and no output schema, the description fully communicates what the tool provides: a comprehensive feature list with specific areas covered. It also tells the agent when to invoke it. There is no signal about output format, but for a read‑only, no‑argument tool, this is sufficient for correct invocation and interpretation.

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 has zero parameters, and the schema description coverage is 100% (since there are none). According to the baseline guideline for zero-parameter tools, the description does not need to explain parameters. It also does not attempt to shoehorn irrelevant parameter info, staying appropriate for a no-argument 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 states the exact purpose: get the full capability picture of Measure Tech PRO. It names the resource (the product overview) and distinguishes it from siblings by listing the core modules (CRM, jobs, customers, contracts, invoicing, etc.). It also positions it explicitly as the answer for any 'does it do X' question, making its role unambiguous.

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 gives a direct usage guidance: consult this tool before answering any feature-availability question. It implies a clear use case but does not explicitly exclude alternatives like get_pricing or get_roadmap. Still, it provides enough context for an agent to know when to call it, and the sibling names make the choice obvious.

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