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get_pixel_fee

Cost estimation. Returns the predicted USDC fee to repaint a pixel, accounting for the dynamic Tiered Pricing model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xYes
yYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose that the fee is 'predicted' and accounts for the 'dynamic Tiered Pricing model', indicating it's an estimate that may vary. However, it does not explicitly state side effects (e.g., read-only), permissions, or limitations such as whether the fee is based on current canvas state. This adds some value beyond a bare 'returns fee' statement but leaves gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, preceded by a brief label 'Cost estimation.' It is front-loaded with the main action, contains no filler, and conveys the core purpose and a key nuance (dynamic pricing) in few words. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 2-parameter read-only estimation tool, the description is fairly complete. It states what the tool returns (USDC fee) and that it's an estimate based on a dynamic model. Since no output schema exists, the description covers the return value adequately. However, it doesn't mention any prerequisites or potential caveats (e.g., fee may differ from final charge), but given the tool's simplicity, the gap is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has two parameters (x, y) with no descriptions, and schema description coverage is 0%. The description mentions 'repaint a pixel', which implies x and y are pixel coordinates, but it does not explicitly explain their meaning, roles, or relationship (e.g., x is column, y is row). With zero schema descriptions, the description needed to compensate by explicitly defining what each parameter represents, but it did not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Returns the predicted USDC fee to repaint a pixel' – a specific verb and resource. It also mentions 'dynamic Tiered Pricing model', which adds domain context. This distinguishes it from siblings like get_pixel_info (which likely returns pixel data) and get_arena_rules (which may explain the pricing model but not give a fee).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Cost estimation' implies usage for cost inquiries, and the tool name suggests using it before repainting a pixel. However, the description gives no explicit guidance on when to use this tool versus alternatives like get_arena_rules or get_pixel_info. There are no exclusionary or comparative statements, so usage is only implied, not clearly specified.

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

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TDQS

A4/5.0
Disambiguation5/5

Each tool has a distinct purpose: reading canvas, pixel info, fees, balances, and generating transactions for deposits, withdrawals, painting, and rewards. No two tools overlap in a way that would confuse an agent.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (get_, deposit_, withdraw_, etc.). The only minor inconsistency is 'read_canvas' instead of 'get_canvas', but the naming remains intuitive and generally consistent.

Tool Count5/5

With 10 tools, the server is well-scoped for a game arena. It covers all core actions—reading state, managing balances, painting, and claiming rewards—without unnecessary redundancy or bloat.

Completeness5/5

The tool set covers the full gameplay loop: understanding rules, viewing the canvas, analyzing pixel costs, managing internal balances, executing paint intents, claiming rewards, and withdrawing profits. No critical gaps exist for the stated purpose.

Resources