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

With no annotations, the description carries the full burden. It discloses the ranking method, national percentile scope, and a paid access requirement, which is useful behavioral context. However, it does not state whether the operation is read-only (implied but not explicit), what the output looks like, or any limits on result size or pagination.

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 three short, front-loaded fragments with zero waste. The core purpose appears first, followed by scoring scope and access tier. Every sentence 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 simple ranking tool with no annotations and no output schema, the description covers purpose, scope, and access tier. But it omits any explanation of the three filter parameters and does not describe what a result contains (e.g., county name, growth metric, percentile), leaving notable gaps for correct invocation.

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 0% for three parameters (limit, state, min_deaths), and the description does not mention or explain any of them. It provides no meaning for how these filters constrain the ranking, so it fails to compensate for the schema's lack of documentation.

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 a specific verb and resource: 'Rank counties by projected growth in deaths 2025-2040.' It clarifies the analytical question ('expansion/market-selection') and the scoring scope ('national percentile across all 3,144 counties'). However, it does not explicitly distinguish this tool from siblings like deathcare_projection or deathcare_market, so it stops short of a 5.

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?

It gives clear context for when to use it: 'the expansion/market-selection question.' It also signals access tier ('PAID (Professional and above)'). But it names no alternative tools and provides no explicit when-not guidance, so it is clear context without exclusions.

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