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

With no annotations, the description must carry behavioral disclosure on its own. It does reveal the matched fields and the Celestia-specific scope, which is helpful, but it omits how similarity is ranked, what the result set looks like, and whether there are any operational traits like pagination semantics beyond what the schema already states.

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?

Two sentences, each earning its place: the first states the core action and mechanism, the second explains a concrete use case. No filler or redundant text.

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 three-parameter search tool with fully documented schema, the description is functionally complete: an agent knows the domain, the matching fields, and the suggested use case. It only lacks explicit alternative routing or a mention of result shape, which is a minor gap given the low complexity.

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 100% with each parameter documented (description, limit, offset including defaults and bounds). The tool description adds no parameter-specific detail, but the schema does the heavy lifting, so the baseline 3 applies.

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 starts with a specific verb and resource ('Find Celestia ecosystem projects most similar to a free-text description') and clarifies the matching mechanism across 'title + category + description + tags.' This sharply distinguishes it from siblings like list_ecosystem_projects or semantic_search, so an agent can tell what it does without inspecting the schema.

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 states when it is useful ('before proposing a project to check overlap with what already exists'), giving clear contextual guidance. However, it does not explicitly name alternative tools or describe when not to use it, so the agent is left to infer routing among the many search/similarity siblings.

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