Global situational awareness. Returns the full 32x32 grid and reservoir stats. Warning: This is a heavy payload (1024 pixels). Use for broad scanning of opportunities.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, the description carries the transparency burden. It proactively warns that the payload is heavy (1024 pixels), which is valuable behavioral information for an agent. It does not mention other traits like authentication, rate limits, or response format, which could be relevant. The warning partially compensates for the lack of annotations.
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 three concise sentences, front-loaded with the purpose and ending with a practical warning. No filler or redundant information. It efficiently communicates the tool's scope and a key usage caveat.
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 no output schema, the description serves as the sole explanation of return value: the full grid and reservoir stats. It also warns about the heavy payload, which is important for agents considering cost. While it could detail the grid format or reservoir stats, the essential information for selection and invocation is present.
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 has no parameters, so the schema is trivially complete. The description adds context about the broad payload but does not need to explain parameter semantics. The baseline score of 4 is appropriate given zero parameters.
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 identifies the tool's function: returning the full 32x32 grid and reservoir stats. While 'Global situational awareness' is abstract, the concrete details specify the resource. It implies a contrast with sibling tools focused on specific pixels or rules, though it does not explicitly name an alternative.
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 explicitly recommends using this tool for 'broad scanning of opportunities,' providing a clear context. However, it does not specify when to avoid this tool or mention alternatives such as get_pixel_info for targeted queries. This leaves some ambiguity for an agent deciding among tools.
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.