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AnavaAcap

Anava MCP Server

by AnavaAcap

anava_capture_image

Capture high-quality images directly from Axis cameras using predefined resolution and channel settings, facilitating real-time visual data collection without additional analysis.

Instructions

Capture an image from camera without analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cameraNoCamera name or use default if not specified
channelNoCamera channel number (default: 1)
resolutionNoImage resolution (e.g., "1920x1080")
Behavior2/5

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

With no annotations provided, the description carries full burden but only states it captures without analysis. It misses key behavioral details: whether this is a read/write operation, if it requires specific permissions, what happens to the captured image (saved/returned), or any rate limits/errors. The description adds minimal context beyond the basic action.

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, efficient sentence that front-loads the core purpose ('capture an image from camera') and adds a key constraint ('without analysis'). There is zero waste, and every word earns its place.

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?

Given no annotations and no output schema, the description is incomplete for a tool that likely returns an image or status. It doesn't explain what the tool returns, error conditions, or side effects. For a capture operation with potential system interactions, more context is needed.

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 100%, so parameters are fully documented in the schema. The description adds no parameter-specific information beyond what the schema provides (e.g., no examples or constraints). Baseline 3 is appropriate as the schema handles parameter semantics adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('capture') and resource ('image from camera'), specifying that it's a capture operation without analysis. It distinguishes from sibling 'anava_capture_analyze' by explicitly stating 'without analysis', though it doesn't mention other siblings like get/monitor events.

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

Usage Guidelines3/5

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

The description implies usage context by contrasting with 'anava_capture_analyze' through 'without analysis', suggesting this is for raw image capture. However, it lacks explicit guidance on when to use this versus other siblings or any prerequisites/exclusions.

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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