Skip to main content
Glama

generate_panorama_mission

Create a panoramic photo capture mission by defining a grid of heading and pitch positions. Automatically saves the mission with an ID and photo count for stitching.

Instructions

Generate a panorama capture mission at a fixed hover location. Creates a grid of heading/pitch combinations for photo stitching. Automatically saves the mission to your account — returns the saved mission with ID and photo count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoMission namePanorama
center_latYesLatitude
center_lngYesLongitude
altitude_ftYesFlight altitude in feet AGL
columnsNoNumber of heading positions (12 = every 30 degrees)
rowsNoNumber of pitch rows
start_heading_degNoStarting heading in degrees
top_pitch_degNoTop row pitch (0 = horizon)
bottom_pitch_degNoBottom row pitch (-90 = nadir)
drone_profile_idNo
Behavior4/5

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

With no annotations, the description carries the burden. It discloses that the tool automatically saves the mission and returns it with ID and photo count. It does not mention error handling or prerequisites, but the core behavior is transparent.

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?

Two sentences, no fluff. First sentence states the main action, second adds key details about saving and return value. Highly concise and front-loaded.

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

Completeness4/5

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

Given 10 parameters and no output schema, the description covers the core functionality and return value. It lacks details on error cases or prerequisites, but is sufficiently complete for a simple creation tool with many sibling tools.

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 90%, so the schema already describes parameters. The description adds context 'for photo stitching' but does not add significant meaning beyond the schema. 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 'Generate a panorama capture mission at a fixed hover location' and 'Creates a grid of heading/pitch combinations for photo stitching', which is a specific verb+resource and is distinct from sibling tools like generate_corridor_mission or generate_orbit_mission.

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

Usage Guidelines4/5

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

The description implies usage for panorama missions at a fixed hover location, which differentiates from other generation tools. However, it does not explicitly state when to use or not use this tool, nor list alternatives.

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/markpdxt/dronelytics-mcp'

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