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Update stock count in Paired Plus

paired_plus_update_stock_count
Read-onlyIdempotent

Update stock count in the user's own Paired Plus account from ChatGPT, Claude or any AI agent. Returns how to do it in Paired Plus step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Paired Plus Cloud Browser. Paired Plus's official API: The ProSolutions Paired host publishes API help, but no self-serve API key or onboarding guide was found.

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": "paired_plus_update_stock_count"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the non-obvious fact that the tool "opens nothing by itself" and only returns procedural guidance, which prevents an agent from assuming the update already happened; it also notes no self-serve API/key path exists. It omits anything about the shape of the returned steps.

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

Conciseness4/5

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

The core purpose is front-loaded and the two-phase workflow is stated early. The final sentence about the ProSolutions API help is relevant but delivered as a dangling fragment, and the middle sentence is a run-on that could be split.

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

Completeness3/5

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

With no parameters and no output schema, the description carries the burden of explaining what comes back. It says "step by step (screens, buttons, fields)" but does not describe the return format, whether it is plain text or structured steps, or how granular it is, which leaves an agent guessing about how to consume the result.

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 input schema is an empty object with zero parameters, so there is no parameter meaning for the description to add; baseline for a zero-parameter tool applies. The absence of any parameter for product or quantity is a design limitation, not a description defect.

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 names a concrete verb and resource ("Update stock count") and immediately clarifies the actual mechanism: it returns step-by-step instructions rather than performing the change. That distinction is more useful than the name alone, though it never explicitly contrasts itself with the many other paired_plus_* mutation tools.

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?

It gives clear usage context: call it first to get the screens/buttons/fields walkthrough, then execute via the cotlet_browser_* tools against the user's Paired Plus Cloud Browser. It stops short of stating when NOT to use it or naming an alternative when a real API path exists.

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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