Skip to main content
Glama

compare_observation

Verify real ARC frames against the model's current viewport to detect mismatches and guide corrections.

Instructions

Compare a real ARC frame against the model's current rendered viewport.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observedYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits itself. It only says 'compare' but does not explain what the comparison returns, whether it has side effects, or any prerequisites. This is a significant gap for a tool with no annotation coverage.

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, concise sentence that immediately communicates the action. Every word contributes meaning with no redundancy or filler.

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

Completeness2/5

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

Although an output schema exists, the description lacks essential context such as when to use this tool (e.g., after setting a viewport), what the output indicates, or any behavioral constraints. The tool is simple but still under-described given the absence of annotations and parameter details.

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 description coverage is 0%, and the only parameter 'observed' has no schema-level description. The description adds the semantic cue that 'observed' represents the real ARC frame, which is helpful but does not fully explain the expected grid structure or format beyond the type definition.

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 uses a specific verb 'compare' and clearly identifies the resources: a real ARC frame and the model's current rendered viewport. This distinguishes it from sibling tools like set_viewport or get_world_state, which perform different actions.

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

Usage Guidelines2/5

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

The description does not mention when to use this tool, when not to, or any alternatives. It only states what it does, leaving the agent without guidance on selecting it over other tools.

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/junxiangyang0707-hash/arc-agi-3-world-model-lab'

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