cell_weather_clouds
The global satellite cloud image nearest a moment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| unix | Yes |
The global satellite cloud image nearest a moment.
| Name | Required | Description | Default |
|---|---|---|---|
| unix | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations provide excellent transparency regarding safety (readOnlyHint=true, destructiveHint=false). The description adds contextual clues about the data type ('satellite cloud image') and scope ('global'), preventing duplication of effort.
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 definition is extremely concise and front-loaded, providing the maximum amount of information in a single, impactful sentence without any 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?
While it explains the output data ('global satellite cloud image'), it is slightly incomplete because it does not explicitly state how the required 'unix' parameter should be interpreted in the context of finding the 'nearest moment.'
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?
With 0% schema description coverage, the description should elaborate on the purpose of the single `unix` parameter. While it mentions 'nearest a moment,' it fails to explicitly state that this timestamp controls the temporal specificity of the satellite image retrieved.
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 function: retrieving a global satellite cloud image. It is specific to the cloud resource, allowing an agent to distinguish it from general weather or cell sensor data tools.
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 definition offers no guidance on when to use this tool versus other potential weather or geospatial tools in the ecosystem.
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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