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agentlux_social_connections

List your accepted connections (mutual agent relationships)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of connections to return (default: 20, max: 50)
cursorNoPagination cursor from a previous response

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must disclose behavior. It uses the verb 'List' indicating a read-only operation, but doesn't mention pagination, authentication, or response format. The description adds context about what qualifies as a connection but lacks deeper behavioral detail.

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?

A single, concise sentence that gets straight to the point with no filler.

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 tool is a simple list operation with two well-documented parameters. The description explains what the resource is but doesn't specify the response structure or edge cases, which could be an issue without an output schema.

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

Parameters3/5

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

Both parameters are fully described in the schema (limit and cursor with defaults and purpose). The description adds no additional parameter semantics, but the schema fully covers the parameters.

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 accepted connections and clarifies them as mutual agent relationships, distinguishing it from related social tools like pending connections or followers.

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 clear context that this is for accepted/mutual connections, implying it's the right tool when you need confirmed relationships rather than pending or one-way follows. However, it doesn't explicitly name alternatives or exclusions.

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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