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Thenvoi MCP Server

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by thenvoi

list_agent_peers

Retrieve available agents for recruitment into chat rooms, optionally excluding those already in a specific chat.

Instructions

List agents that can be recruited by the current agent.

Returns a list of peers (other agents) that can be added to chat rooms.
Includes sibling agents (same owner) and global agents. Excludes self.

Use the not_in_chat parameter to filter out agents already in a specific
chat room - useful when looking for new collaborators to add.

Args:
    not_in_chat: Exclude agents already in this chat room ID (optional).
    page: Page number for pagination (optional).
    page_size: Number of items per page (optional).

Returns:
    JSON string containing the list of available peers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
not_in_chatNo
pageNo
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description discloses the return behavior (list of peers), inclusion/exclusion criteria, and return format. No side effects are mentioned, but the operation is read-only.

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 well-structured: a one-line summary, a brief paragraph, and a bulleted Args list. Every sentence adds value with no 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?

The description covers functionality, parameters, and return type adequately for a list tool. Missing details like pagination defaults or limits, but overall sufficient.

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

Parameters5/5

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

The input schema has 0% description coverage, but the tool description includes an Args section that fully explains each parameter (not_in_chat, page, page_size), adding significant meaning beyond types and defaults.

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 clearly states the tool lists agents that can be recruited by the current agent, includes sibling and global agents, and excludes self. The purpose is specific and distinct from siblings like list_my_peers.

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 provides context on when to use the not_in_chat parameter, but does not explicitly compare to alternative tools or state when not to use the tool.

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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