create_accept_quote
Accept a customer quote in Bexio by its ID, changing the status to accepted to finalize the deal.
Instructions
Accept a quote
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | the id of the quote |
Accept a customer quote in Bexio by its ID, changing the status to accepted to finalize the deal.
Accept a quote
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | the id of the quote |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a mutating operation (readOnlyHint=false), but the description adds no behavioral context such as what state the quote transitions to, whether it creates a related record, or any side effects. The description fails to add value beyond the structured metadata.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is under-specified at only three words. While it is brief, it fails to include any operational detail, making it more of a lack of specification than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a state-changing tool, the description is critically incomplete. It does not explain the effect of accepting a quote, any valid preconditions, or what the API returns. This leaves substantial gaps in the agent's understanding of the operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with the quote_id parameter described as 'the id of the quote.' The description adds no new meaning, but the schema already fully documents the parameter, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Accept a quote' is essentially a restatement of the tool name 'create_accept_quote' and provides no additional detail about what acceptance does. It does not distinguish this from sibling tools like create_decline_quote or create_invoice_from_quote, so it fails to clarify the specific action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention prerequisites (e.g., quote must be issued) or exclusions (e.g., not for declining), leaving the agent without context for selecting this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIWerk/mcp-server-bexio'
If you have feedback or need assistance with the MCP directory API, please join our Discord server