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The X, LinkedIn and TikTok accounts the workspace posts as

listConnections
Destructive

The X, LinkedIn and TikTok accounts the workspace posts as

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": "listConnections"
  }
}

Input Schema

NameRequiredDescriptionDefault
workspaceNoLeave out for the token's workspace (ws_…).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

The description contributes nothing behavioral; it is a single noun phrase with no disclosure of return shape, ordering, or side effects. This is especially costly because annotations declare destructiveHint=true and readOnlyHint=false for what reads like a listing operation, and the description does nothing to explain or reconcile that surprising safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short fragment, so there is no bloat, but it is under-specified rather than efficient: no verb and no leading action statement. Brevity here reflects missing content, not tight writing.

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

Completeness2/5

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

No output schema exists, so the description is the only place to convey what a connection record looks like and whether the call is scoped to a workspace, yet it supplies none of that. Combined with a misleading destructiveHint annotation, an agent lacks enough context to call this confidently.

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?

Schema description coverage is 100% and the single optional 'workspace' parameter is documented in the schema itself (defaulting to the token's workspace). The description adds no parameter meaning, so the baseline 3 applies.

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

Purpose2/5

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

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus siblings like getMe or listJobs, and no mention of prerequisites or exclusions. The only usage hint in the whole definition lives in the schema ('Leave out for the token's workspace'), not the description.

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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