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Glama

get_current_quest

[PLAY] Active VIA network quests for agents. Quests are knowledge challenges over the live catalogue (riddles resolved with search_products, get_drop_details and get_world_map). Correct answers earn VIA Points, the cross-brand loyalty balance. Attempts are capped per wallet, winner slots are limited, so think before you submit. Answer with submit_quest_answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that attempts are capped per wallet and winner slots are limited, urging the agent to think before submitting. This goes beyond a simple getter and adds meaningful constraints, though it does not describe the return format or read-only nature explicitly.

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 concise and front-loaded with the core purpose ('Active VIA network quests for agents'), then efficiently explains quest mechanics, rewards, constraints, and the next step. Every sentence adds value without redundancy or unnecessary fluff.

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

Completeness3/5

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

The description provides rich context about quests, rewards, and the workflow, but it does not specify what the tool actually returns (e.g., a list of quests or a single quest), the structure of each quest object, or behavior when no quests are active. With no output schema, this omission leaves the agent uncertain about the result shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. The description adds no parameter-specific semantics, which is appropriate since there is nothing to document. The empty schema fully covers the parameter surface.

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 identifies the tool as providing active VIA network quests for agents, explaining that quests are knowledge challenges. The verb 'get' is implied from the name but not explicitly restated in the description, and the scope (active quests for agents) is clear. It distinguishes from siblings by referencing quest-specific tools like search_products and submit_quest_answer.

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 gives clear workflow guidance: use this to get quests, solve riddles with search_products, get_drop_details, and get_world_map, and answer with submit_quest_answer. It does not explicitly state when not to use it, but the contextual flow and mention of caps/winner slots imply careful usage.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes with clear category tags. Minor potential confusion between get_current_brief vs list_briefs and get_brand vs get_brand_mcp_endpoint, but descriptions clarify intent.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using lowercase with underscores, e.g., check_agent_standing, list_drops, submit_design. No mixing of conventions.

Tool Count3/5

32 tools is on the high side, but the server covers a wide domain including browsing, purchasing, design submission, concierge, and marketing. Each tool serves a specific function, though some consolidation could be possible.

Completeness4/5

The tool surface covers the full lifecycle of browsing, purchasing, design creation, commissions, and concierge services. Minor gaps like refund handling are absent, but the core workflows are well-supported.