skuuy_search_public_apis

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

Annotations already declare safe read-only, idempotent, open-world behavior, so the bar is lower. The description adds real value by disclosing the directory size (41 APIs), that most need no API key, and that results are continuously health-verified by edge probes — none of which is in the annotations.

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?

Front-loaded with the use case, then the scope, then the return fields. Three dense sentences with no filler, though the return-field enumeration could arguably be tightened.

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?

Given no output schema, the description compensates by naming exactly what each result contains (name, purpose, category, auth requirement, docs link, sample endpoint). Combined with 100% param coverage, an agent has everything needed to call and interpret the tool.

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 every parameter is already documented in the schema itself. The description's example keywords ('weather', 'crypto prices') echo the query and category parameters but add no format or syntax guidance beyond what the schema provides. Baseline 3.

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 (Searches) and resource (Skuuy's live directory of public APIs) with scope (41 health-checked APIs, no key required for most). Clearly distinguishes it from the other skuuy utility siblings like resolve_dns or check_ports, which serve unrelated tasks.

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 concrete triggering condition ('Use this when you need a free public REST API for a task') and enumerates example domains (weather, crypto prices, geocoding, news, AI models). No explicit alternatives or exclusions are named, but the context is unambiguous for a search tool.

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