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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Analyze' implies a read-only operation, but the description doesn't state whether the analysis requires prior token identification, what happens with invalid addresses, or how the Gini coefficient is computed or returned. For a tool with zero annotation coverage, this is a significant gap.

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 a single sentence with no wasted words, and the verb and resource are front-loaded. It's appropriately terse for a one-parameter tool, though it sacrifices potentially useful detail for brevity.

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 one-parameter analysis tool, the description conveys the core function. However, with no output schema and no annotations, it fails to explain what the output looks like, what the Gini coefficient range means, or how to interpret results. Adequate but minimal coverage of context.

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 0%, so the description should compensate. However, there is only one parameter ('address') which is self-evident from its name. The description doesn't clarify what type of address is expected (token contract vs. wallet), which adds some ambiguity, but the single parameter is minimally sufficient.

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 ('Analyze') and resource ('token holder concentration') with a defined method (Gini coefficient). The purpose is clear and distinct from siblings like honeypot_check or token_price, which serve different purposes, though no sibling differentiation is explicitly made.

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?

No guidance is provided on when to use this tool versus alternatives. The agent must infer usage context from the name and description alone, with no mention of prerequisites, typical use cases, or situations where a sibling tool would be more appropriate.

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