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Glama

upload_drone_script

Upload a DroneLang script to an autonomous drone (DroneLang is a simple scripting language. Scripts run once per tick. The drone executes the first matching IF branch as one game action. Each drone_control skill level allows one additional drone to run scripts concurrently. Pass empty script to clear.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scriptYesDroneLang script source (max 2000 chars). Pass empty string to clear.
drone_idYesID of the drone to program
session_idYesYour session ID from login/register

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations only include readOnlyHint=false, so the description carries the burden. It discloses script execution semantics (per-tick, IF branch selection, one action) and concurrency rules, adding value beyond the annotation. It does not mention potential side effects like overwriting existing scripts, but the disclosed behavior is useful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with the purpose front-loaded in the first sentence. The parenthetical is dense but informative, containing essential behavioral details. It is concise and avoids redundancy.

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 the simplicity of the parameters and no output schema, the description provides adequate context about script behavior and concurrency. It does not explain return values, but for an upload action this is less critical. The description is sufficient for an agent to use the tool correctly.

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 100%, so the schema already describes all three parameters (script, drone_id, session_id). The description adds DroneLang context but no parameter-specific details beyond what is in the schema (e.g., clearing via empty script is already in the schema). Baseline of 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 uses a specific verb ('Upload') and clearly identifies the resource ('DroneLang script to an autonomous drone'), distinguishing it from sibling tools like deploy_drone or load_drone. It also provides context about DroneLang, making the purpose unmistakable.

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 by explaining script execution (runs once per tick, first matching IF branch) and the clearing behavior ('Pass empty script to clear'). It also notes concurrency limits based on skill level. However, it does not explicitly state when to use this tool versus alternatives or mention 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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools are clearly distinct, targeting specific actions and resources. A few overlaps exist (e.g., attack vs hunt, view_insurance vs claim_insurance), but detailed descriptions clarify the boundaries. The scale makes selection harder, but each tool has a clear purpose.

Naming Consistency4/5

The majority use a consistent verb_noun snake_case pattern (e.g., create_buy_order, get_cargo, accept_mission). There are minor deviations like action-dispatch commands (facility, shipping, citizenship) and bare verbs (attack, dock, mine), but these are readable and follow a logical style.

Tool Count1/5

With 212 tools, the server far exceeds any reasonable scope for an MCP. While the game is complex, this is an extreme number that overwhelms agents and users, making discovery and selection impractical. The calibration considers 25+ already too many, and 212 is extreme.

Completeness5/5

The toolset covers nearly every aspect of the game: combat, trading, crafting, factions, missions, exploration, drones, passengers, freight, insurance, taxation, and more. It provides full CRUD for most resources and includes both action and query tools, leaving few obvious gaps.

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