agent_registry
List, look up, and discover other agents in the Alya Hub catalog. Use this to delegate work to specialised agents.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Required when action=lookup | |
| action | No | list |
List, look up, and discover other agents in the Alya Hub catalog. Use this to delegate work to specialised agents.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Required when action=lookup | |
| action | No | list |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must carry full burden. It only lists actions (list, look up, discover) but does not disclose behavior like rate limits, side effects, or permissions for mutation. Lacks transparency beyond the name.
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?
Two concise sentences with no wasted words. The purpose is front-loaded and immediately clear.
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?
For a simple list/lookup tool, the description is mostly complete. However, it lacks any mention of output format or return values, which would aid an agent in interpreting results. Given no output schema, the description could be more complete.
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?
Schema description coverage is 50% (slug only). The description adds no additional meaning for parameters; it does not explain the action enum or when slug is needed. It fails to compensate for the missing schema detail.
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 explicitly states the tool lists, looks up, and discovers agents, with a clear verb (list/lookup) and resource (agents). It distinguishes from sibling tools as no other tool handles agent registry.
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?
The description indicates use for delegating work to specialized agents, providing clear context. It does not explicitly exclude other scenarios or mention alternatives, but since no direct sibling exists, this is sufficient.
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.
Most tools have distinct purposes and clear descriptions, but there is some potential confusion among the four Polymarket-related tools (categorize, edge, signals, top_traders) and among the multiple 'alya_' prefixed tools that query different data sources.
Naming patterns are mixed: some tools use 'alya_' prefix, others use action-based names like 'batch_calibrate' or 'image_gen', and YouTube tools all start with 'youtube_'. The inconsistency in prefixes and verb styles makes the set less predictable.
32 tools is high for an MCP server, and they span a wide, unrelated set of domains (Polymarket, YouTube, gemology, weather, earthquakes, health, celebrity, etc.), making the surface feel bloated and unfocused.
Each domain has incomplete coverage: Polymarket lacks trade execution, YouTube automation depends on external OAuth, health tools only offer diagnosis and drug interactions without follow-up, and other domains have minimal tooling. The server feels like a collection of one-off features rather than a coherent surface.