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Conecto Website chat

Turn a chat into a ticket

chat_create_ticket

Open a help desk ticket from a chat that needs follow-up: the chat so far becomes the request, the visitor its requester (their email from the chat, or email), linked to the chat and their CRM contact, so the rest goes by email under the help desk's targets. A chat that already has an open ticket returns that one. $0.01. Costs $0.01 per call; nothing if it fails.

Input Schema

NameRequiredDescriptionDefault
emailNoWhen the visitor gave none in the chat.
subjectNo
categoryNo
priorityNonormal
conversation_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior1/5

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

Annotations declare idempotentHint=false, but the description says 'A chat that already has an open ticket returns that one', which implies repeated calls are deduplicated and therefore idempotent. This is a direct contradiction of the structured annotation; otherwise it usefully adds cost, CRM linking, and email-follow-up behavior.

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?

The main purpose is front-loaded, but the first sentence is long and has an awkward trailing clause about email and help desk targets. The cost is redundantly stated as '$0.01. Costs $0.01 per call', which is wasted repetition.

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?

The description covers the core data flow, cost, and duplicate-ticket behavior, which is helpful for a write tool. However, with no output schema it does not describe what a newly created ticket returns, and it omits auth/error details plus most parameter meanings.

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

Parameters2/5

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

Schema description coverage is only 20% (only email is documented). The description clarifies email fallback and conversation_id implicitly, but it says nothing about subject, category, or priority, leaving most parameters undocumented in both the schema and the description.

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

Purpose5/5

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

The description gives a specific verb and resource: 'Open a help desk ticket from a chat'. The source ('from a chat') clearly distinguishes this from generic ticket-creation siblings, and it explains the resulting request/requester relationship.

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 states the trigger condition clearly: use this when a chat 'needs follow-up'. It does not name alternatives such as ticket_create or explicitly state when not to use this tool, so it falls short of full when/when-not guidance.

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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