convert_curl_to_fetch

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

With no annotations, the description carries the full disclosure burden. It does add some value by specifying the generated languages, the inclusion of 'auth headers', and the operating cost ('0.005 USDC on Base L2'). However, it omits failure behavior, unsupported curl features (cookies, redirects, multipart), and whether paymentSignature is mandatory for execution.

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?

One front-loaded sentence states the core function, and a short parenthetical discloses the cost. Every element earns its place with no filler or redundancy.

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 two-parameter tool, the core behavior is covered, but with no output schema the description never defines the return value — an agent cannot tell whether the result is a single snippet, a language-selectable object, or separate outputs. Input constraints (which curl flags are unsupported) are also unstated.

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%, so the baseline is 3. The description adds marginal context by mentioning the cost tied to the paymentSignature parameter, but it does not clarify what the payload should contain beyond the schema's generic 'Input parameters or JSON string payload' 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?

The description states a specific verb ('Parses') and resource ('raw Bash cURL commands') and names three concrete outputs: fetch(), axios, and python requests snippets. Among the long list of convert_* siblings, this tool is uniquely identifiable and clearly distinguished by its specific input and target languages.

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?

The description gives no guidance on when to use this tool, when not to use it, or which alternative to prefer. Since the sibling list contains many conversion-related tools, the agent receives no routing cues beyond the tool name itself.

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