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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds genuinely new behavior: all words must appear, results are capped at 10 with a total, and price provenance is human-checked with an explicit warning not to substitute an external price. Return-shape detail beyond the annotations is useful, though pagination/offset behavior for retrieving beyond 10 results is absent.

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?

Three dense but front-loaded sentences: purpose and matching first, the filter precondition, then the return contract. Every clause carries information, though the third sentence is long enough that the return-format details could be split for scannability.

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 does the work of describing returns (at most 10 listings plus total, each with NutsGrowth page, product website, human-checked price, and last-checked date). Combined with the matching and precondition rules, an agent can call this correctly; only retrieval beyond the 10-item cap is unexplained.

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%, so the baseline is 3, but the description adds meaning the schema cannot express: which fields each query word is matched against, AND semantics across all supplied filters, and the cross-parameter rule that at least one filter must be present. That is real added value over the per-parameter schema text.

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 and resource ('Find startups and SaaS tools in the NutsGrowth directory') and defines the matching scope precisely (name, tagline, category, country, price, replaced products, tags). It does not explicitly distinguish itself from siblings like find_alternatives or compare_tools, so an agent must infer the boundary, but the core purpose is unambiguous.

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?

Gives a hard precondition ('Give at least one of query, category, country, tags, open_source, self_hostable or free_plan') and points to list_filters as the source of valid category/tag/country values, which is actionable usage guidance. It stops short of saying when to prefer a sibling (e.g. find_alternatives) over this tool.

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