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

No annotations are provided, so the description carries the full disclosure burden. It usefully enumerates the cost components included (app-action fan-out, MCP tool calls) and excludes LLM token spend, but for a tool with zero annotation coverage it says nothing about the fact that this is a side-effect-free computation and nothing about the shape of the returned estimate.

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 with the usage trigger first and zero filler. It is dense but every clause earns its place, with no redundant restatement of the name.

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?

Covers the purpose, the cost components, and the trigger, which is adequate for a 4-parameter calculator. But with no output schema and no annotations, the definition never indicates what the result looks like (a total, a per-component breakdown, currency/units) or how make_modules_per_run derives its default, leaving a real gap for an agent consuming the response.

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 description coverage is 100% and every parameter already documents its default, so the schema does the heavy lifting. The description adds conceptual framing by linking app-action fan-out and MCP tool-call accounting to the cost model, but supplies no syntax, units, or non-obvious semantics beyond what the schema states.

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?

States a specific verb (estimate) and resource (automation-platform cost for an agent workflow) and scopes it by naming the covered components (app-action fan-out, MCP tool-call accounting). It also distinguishes itself from LLM token spend, though it stops short of differentiating from the near-identical siblings agent-loop-cost-calculator and automation-cost-calculator.

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 leading 'Use when a user needs to estimate automation-platform cost for an agent workflow' is a genuine trigger condition, and 'separate from LLM token spend' implicitly routes token-cost questions elsewhere. However, no alternative sibling is named and there is no guidance on when this calculator beats agent-loop-cost-calculator or automation-cost-calculator.

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