sprite_quickstartRetrieve the Agent workflow, tool order, pixel-art golden rules, and a ready-to-use example before creating or refining sprites—no source reading needed.
Call this FIRST. Returns the exact Arena.ai Agent workflow, tool order, the golden rules of pixel art and a ready-to-use example. No source reading needed.
| Name | Required | Description | Default |
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Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the burden, but the tool is a zero-parameter read of static content with little risk surface. It does usefully disclose the return contents and that 'no source reading needed', which tells the agent the response is self-sufficient. It doesn't state whether the content is versioned or how large the response is.
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 short sentences, front-loaded with the call-ordering imperative, then the payload description. Every clause earns its place with no filler.
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?
There's no output schema, and the description compensates by enumerating the four things returned. For a no-param documentation tool this is nearly sufficient; only the shape/format of the returned workflow is left unspecified.
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?
The tool takes zero parameters, so the baseline of 4 applies; there is no parameter semantics to compensate for. Schema coverage is 100% and empty, so nothing is missing.
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 uses a specific verb ('Returns') and enumerates the concrete payload: the Arena.ai Agent workflow, tool order, golden rules of pixel art, and a ready-to-use example. It's clear what the tool produces, though the 'resource' is a documentation bundle rather than a data object, so it reads slightly abstractly.
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 opening imperative 'Call this FIRST' gives unambiguous timing guidance with no room for inference, which is exactly the routing signal an agent needs amid 26 sprite_* siblings. It stops short of naming exclusions or alternatives (e.g., when to skip straight to sprite_policy), so it earns a 4 rather than a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.