genpio_overviewExplain what Genpio is and point to the machine-readable documents that answer product, pricing and FAQ questions in depth. Hands off rather than guessing: a commercial question is routed to a human instead of answered.
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds valuable behavioral context by stating that the tool 'points to machine-readable documents' and that it will route commercial questions to a human instead of guessing, which is not derivable from annotations.
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?
The description is two sentences with no redundancy. The first sentence front-loads the core purpose, and the second adds a crucial behavioral nuance. Every word earns its place, making it highly concise and well-structured.
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 zero-parameter, no-output-schema tool, the description is complete. It explains what the tool does, where it points, and how it handles commercial questions. Given the tool's simplicity and the rich annotations, no additional context is needed.
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 has zero parameters, and the schema coverage is trivially 100%. With no parameters to document, the description doesn't need to add parameter semantics; the baseline for 0-param tools is 4, and the description is consistent with this.
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's function with a specific verb ('Explain') and resource ('what Genpio is'), and further specifies that it points to machine-readable documents for product, pricing, and FAQ questions. This distinguishes it from sibling tools like list_avatars or service_status, which are purely list/status tools.
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 gives clear context on when to use this tool (for an overview and document pointers) and provides behavioral guidance: commercial questions should be routed to a human rather than answered. It doesn't explicitly name alternative tools, but the 'hands off rather than guessing' instruction effectively communicates a boundary for usage.
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.
Each tool has a clearly distinct resource: company overview, avatars, open roles, voices, and service status. There is no meaningful overlap between list_avatars and list_voices because the underlying category types are separate and described separately.
Three tools use the list_* pattern, but genpio_overview and service_status break the verb_noun convention. The naming is still readable, but the set mixes verb-led and noun-led conventions.
Five tools is a compact, well-scoped count for a read-only informational server about Genpio. Each tool adds a distinct resource without redundancy, so the agent's tool-selection space is clean and manageable.
The server covers the obvious public-facing information: product overview, avatar portfolio, voice portfolio, hiring, and system status. However, the server name emphasizes livestream, yet there are no livestream scheduling or meeting streaming tools, which is a notable gap for that stated focus.