screenshot
截取当前地图视图(返回 base64 PNG)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
截取当前地图视图(返回 base64 PNG)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds the return format (base64 PNG), which is useful, but does not disclose other behavioral traits like resolution or synchronization. This aligns with the lower bar set by the 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 a single, focused sentence that conveys the action and output format without any filler. It is front-loaded and earns its place.
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?
With zero parameters and no output schema, the description is fully complete: it states what the tool does and the return format. No additional context is necessary for this simple tool.
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 zero parameters and the schema is empty with 100% coverage. Baseline for 0-parameter tools is 4, and the description does not need to add parameter semantics.
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 uses a clear verb '截取' (capture) with a specific resource '当前地图视图' (current map view) and adds the output format 'base64 PNG'. It is distinct from all sibling tools since none are screenshot-specific.
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 context is clear: use when you need to capture the current map view as an image. No exclusions or alternatives are needed because no sibling serves a similar purpose. However, it does not explicitly state when not to use it.
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.
Multiple tools share conceptual boundaries (e.g., addMarker vs addBillboard vs addLabel, addPolyline vs addCorridor vs addWall, flyTo vs setView), though descriptions clarify most cases. The overlap is notable given the large tool count.
All tools use lowerCamelCase with a consistent verb-first pattern (add*, load*, set*, remove*, update*). Some generic verbs like control and update are reused, but the naming is predictable and readable.
43 tools is well beyond the recommended range. Many add* functions for different primitive types could be consolidated into one entity-creation tool, reducing bloat and cognitive load without sacrificing capability.
The tool set offers strong coverage across entities, layers, camera controls, and animations. Minor gaps include lack of entity information retrieval and direct geometry re-editing, but core workflows are well supported.