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

Annotations already declare readOnlyHint=true, so the tool is known safe. The description adds that it returns a structured, audited deliverable and validates inputs server-side, but does not detail any side effects, auth requirements, or limitations. This is adequate for a read-only tool.

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 contains branding fluff ('Gapup agent-payable C-suite expertise') and a repetitive reference case, while not being well front-loaded. The core purpose appears mid-description, and there is redundancy in workload/load placeholders.

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 no output schema, the description provides some output expectations via examples (scaling plan, security baseline, IaC recommendation), but the exact deliverable structure is vague. It also lacks guidance on parameter combinations or error cases, though it is one of the more complex tools.

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?

Schema coverage is low (11%), but the description maps several key parameters (workload_type, expected_load, compliance_required, cloud_preference, budget_monthly_eur, region_preference) to example queries. However, it does not fully explain all 9 parameters, such as team_size or business_context.

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 clearly states the tool designs cloud infrastructure blueprints, listing concrete example questions covering architecture, cloud provider comparison, costs, and services. It distinguishes from siblings by focusing on comprehensive architectural design rather than cost optimization alone.

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 provides clear use cases via example questions, but does not explicitly state when to prefer this over alternatives or mention exclusions. Context implies use for infrastructure architecture design, but no explicit comparisons to sibling tools.

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