oahelper_solution

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

With no annotations, the description carries the burden and does disclose the key non-obvious trait: each new fetch consumes one of a limited daily quota, while previously saved solutions are free. It does not mention authentication/account requirements or whether a fetch is idempotent/cacheable beyond the 'saved solutions are free' hint.

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 tight sentences with no waste; the quota constraint and the use-only-when-asked rule are front-loaded where the agent will see them before deciding to call.

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?

An output schema exists, so return values need no explanation, and the description covers purpose, languages, and quota behavior well. The remaining gap is the undocumented required parameter ref_or_url, whose accepted format an agent must guess.

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 must compensate. It usefully enumerates the accepted languages (cpp, python, java), filling an enum gap the schema lacks, but says nothing about ref_or_url — the required parameter — such as whether it accepts an ID, slug, or full URL.

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 (Fetch) plus a precise resource (OAHelper's official solution for one coding question), which is far more than a restatement of the name. It does not explicitly contrast itself with the closest sibling, oahelper_question, so the boundary between the two is left for the agent to infer.

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 an explicit when-to-use rule ('only call this when the user asks for the official solution') backed by a cost rationale, and notes that saved solutions are free. It stops short of naming a specific alternative tool to use instead, so routing is implied rather than stated.

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