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List connected accounts

list_accounts
Read-only

The user's connected social accounts (id, network, handle), their account groups (a named set, e.g. one business's Instagram + YouTube), and what each network needs: caption limit, whether it needs a photo or video, and the settings it takes. Call this first, then pass a group name or account handles to create_draft or publish_post.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_accounts"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that by disclosing the shape of the payload — accounts, groups, and per-network publishing constraints — which is the real reason to call it. It does not mention auth requirements or result size, keeping it short of a 5.

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 dense sentence that front-loads the returned data, followed by the sequencing instruction. The parenthetical examples ('one business's Instagram + YouTube') resolve ambiguity about what a group is without padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must carry the return-value burden — and it does, naming the three data categories and the per-network constraint fields. Combined with annotations covering the read-only profile, an agent has everything needed to call this correctly as a first step.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4; there are no argument semantics to explain. The description correctly implies a no-argument, whole-account-listing call and instead spends its words on output shape.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description concretely enumerates what is returned: connected accounts (id, network, handle), account groups, and per-network requirements (caption limit, media type, settings). That is far more specific than a generic 'list' restatement and clearly separates it from create_draft/list_posts. It loses a point because the verb is only implicit in the name and it references 'publish_post', which is not among the listed siblings.

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?

Explicit sequencing is given: 'Call this first, then pass a group name or account handles to create_draft or publish_post.' That tells the agent both ordering and the downstream consumer of the returned handles/groups. No exclusion conditions are stated, and the reference to publish_post (not in the sibling set) could send an agent toward a tool that may not exist.

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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