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Winquill settings

get_tenda_settings
Read-only

Use this when the user asks which Winquill workspace ChatGPT uses, or which countries' tenders it shows: returns Winquill's settings in ChatGPT, the workspace (for someone in more than one) and the workspace's countries. Needs a Winquill account. Do not use for the company profile (use save_company_profile).

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
layoutNo
schemaYes
valuesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds context the annotations cannot: a Winquill account is required, and the returned settings are account/workspace-scoped. It stops short of noting whether settings can be absent for non-configured accounts.

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 tight block that front-loads the trigger condition, then states what is returned, the prerequisite, and the exclusion. Every clause carries distinct information with no restatement of the name or title.

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?

With no parameters, full annotation coverage, and an output schema that documents the return shape, this description supplies exactly the missing layer: when to call it, what account is needed, and what it is not for. Nothing an agent needs in order to invoke it correctly is absent.

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 there is nothing for the description to disambiguate; baseline 4 applies. The description correctly does not waste words on inputs.

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 the specific resource and its constituents: Winquill settings in ChatGPT, the active workspace, and that workspace's countries. It clearly separates itself from save_company_profile, but says nothing about the obviously related sibling update_tenda_settings, leaving the read-vs-write distinction to the tool name alone.

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 a concrete triggering condition ('when the user asks which Winquill workspace ChatGPT uses, or which countries' tenders it shows') and an explicit exclusion routing to save_company_profile. The missing piece is guidance against update_tenda_settings, the closest alternative for settings-related requests.

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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