Skip to main content
Glama

cpu_get_cell

Inspect a cell to view its state, neighbors, distance from your nearest cell, resource storage details, and whether its production is stalled.

Instructions

Inspect one cell in depth (any owner — the map is public). Returns the cell, its neighbours expanded as full cell states (the immediate surroundings of a target), and distanceFromMine — the grid distance (BFS steps) to your nearest cell (null if your wallet is unknown or it is farther than 50 steps). Each resource carries a storage box (used/cap/reserved/full) and the active process a stalled flag — true once the room holds less than one whole cycle of its output, which halts production before the box reads full, until you offload. For broader situational awareness use cpu_get_map.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenIdYesThe cell tokenId to inspect.
Behavior5/5

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

With no annotations, the description fully details return values: cell, neighbours, distanceFromMine, resource storage box, and stalled flag condition, leaving no behavioral gaps.

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

Conciseness4/5

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

The description is dense but front-loaded with purpose, then details; slightly verbose with parentheticals but generally efficient and clear.

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

Completeness5/5

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

Given no output schema and no annotations, the description provides comprehensive behavioral context, including special flags and references to a sibling tool, making it complete for decision-making.

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

Parameters3/5

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

Schema coverage is 100% and the description adds no additional meaning to the tokenId parameter beyond what the schema already provides; baseline 3 is appropriate.

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 'Inspect one cell in depth' with specific verb and resource, and distinguishes from the sibling tool 'cpu_get_map' for broader awareness.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('inspect one cell in depth') and when to use an alternative ('For broader situational awareness use cpu_get_map'), providing clear guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sodiqit/project-cpu-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server