Precision target analysis. Returns metadata for a specific coordinate: current bounty, next price, paint count, and exact time remaining until claimable.
| Name | Required | Description | Default |
|---|---|---|---|
| x | Yes | Horizontal coordinate (0-31) | |
| y | Yes | Vertical coordinate (0-31) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral disclosure. It clearly indicates a read-only operation ('Returns metadata') and lists specific data, but it omits potential error conditions, rate limits, or how 'claimable' is determined. It adds some value but lacks deeper behavioral context.
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?
The description is two sentences, front-loaded with a memorable tagline ('Precision target analysis') and immediately followed by the specific returned fields. No redundant words or 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?
Given the tool's simplicity (2 params, no output schema, no annotations), the description covers all essential usage aspects: what it returns and for what input. It does not explain the meaning of 'claimable', but the sibling tool 'claim_reward' provides context. It is nearly complete for a straightforward getter.
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 schema already provides full descriptions for both parameters (x and y with ranges 0-31), so the description adds no new parameter meaning beyond referring to a 'specific coordinate'. Baseline of 3 is appropriate since schema coverage is 100%.
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 clearly states the action ('Returns metadata') and the specific resource ('for a specific coordinate'), listing exact data fields. It distinguishes itself from siblings like get_pixel_fee (which is about fees) and read_canvas (which is likely broader canvas data) by focusing on a single pixel's auction/claim details.
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 implies usage for checking a pixel's metadata, but it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or prerequisites. The context is clear but the guidance is only implied, not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.