[BROWSE] List all active brands on the platform. Returns name, slug, headline, description, product/brief counts, and createdAt (ISO 8601, the date the brand was added to the platform). Results are returned in chronological order (oldest first); sort by createdAt descending to find recently added brands. Use a brand slug with list_drops or list_briefs to filter by brand.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses return fields, chronological ordering, and how to sort by createdAt. It also notes the 'active' filter. It lacks details on pagination or authentication, but for a simple list-all operation this is adequate.
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?
Three concise sentences deliver all key information: purpose, return fields, ordering semantics, and cross-tool guidance. No fluff or repetition; each sentence 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?
Given zero parameters, no output schema, and no annotations, the description fully covers the tool's behavior, return values, ordering, and related tools. Nothing essential is missing for an agent to invoke it correctly.
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 takes zero parameters, so schema coverage is trivially 100%. The description adds value by explaining how to use related tools with a brand slug, which indirectly guides parameter usage for filtering. No parameter-specific details are needed.
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 clearly states the tool 'List all active brands on the platform' with a specific verb and resource, and enumerates the returned fields. This distinguishes it from sibling tools like list_drops and list_briefs, which focus on different entity types.
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?
It provides clear context for use (browsing all active brands) and points to alternatives for filtering drops/briefs via brand slug. However, it does not explicitly mention when NOT to use this tool (e.g., for getting a single brand), though the browsing intent is implied.
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.
Several tool pairs could be confused, such as get_offers vs get_redemption_offers, get_world_eggs vs discover_egg, and the human vs agent purchase flows (initiate_purchase/confirm_purchase vs initiate_agent_purchase/confirm_agent_purchase). The descriptions are detailed and mostly disambiguating, but the presence of a retired tool (create_concierge) and multiple similarly named status/check tools add ambiguity.
The vast majority of tools follow a snake_case verb_noun pattern (list_drops, submit_design, redeem_points, verify_world_id). Minor deviations include 'priscilla_post' (proper noun prefix) and the interchangeable use of get/check/verify for status-like tools, but the overall convention is consistent and readable.
With 44 tools, the server is well above the 25-tool threshold that makes a surface feel heavy. Even though the platform covers many domains (commerce, affiliate, design, quests, concierge, marketing), this many tools strains discoverability and agent decision-making.
The buyer and designer flows are well covered (search → detail → purchase → download; brief → submit → status), but the brand side is incomplete. register_brand promises the ability to create briefs and product listings, yet no tools exist to create briefs or products, and there are no update/delete/refund operations for any resource, leaving registered brands at a dead end.