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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and closed-world scope are covered. The description adds genuinely useful context beyond that: chronological ordering (oldest first), which fields may be absent ('where known'), inclusion of a total, and provenance from a free third-party source (AlphaGrowth). It doesn't cover empty-result behavior or result size.

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 tight sentence that leads with the resource and its scope, then the returned fields, then the data source. Every clause carries information. Minor cost: the parenthetical field list makes it dense to parse, but nothing is wasted.

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?

With no output schema, the description steps in to describe the return shape (rounds with date/amount/type/valuation, investors, total raised), which is exactly what an agent needs. Missing only edge cases and a pointer to investor_profile for following up on the investor list.

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 the slug parameter even documents how to obtain the value ('find it with find_projects'), so the description adds nothing about parameters. Baseline 3 is appropriate when the schema carries the semantic load.

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 concrete resource (a crypto project's funding rounds) and enumerates what it returns: date, amount, type, valuation, investors, total raised. The phrase 'a crypto project's' implies per-project scope, which differentiates it from the cross-project sibling recent_funding_rounds, though it never names that sibling to make the distinction explicit.

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?

Usage is only implied: the reader infers 'use this when you have a single project slug and want its full funding history.' It does not say when to prefer recent_funding_rounds or investor_profile, nor what happens for a project with no funding data. The schema partly compensates by pointing at find_projects for slug lookup.

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