Skip to main content
Glama
effytech

Freshdesk MCP server

by effytech

update_ticket_conversation

Modify a specific conversation in Freshdesk tickets by updating its content. Streamline support operations by ensuring accurate and up-to-date customer interactions.

Instructions

Update a conversation for a ticket in Freshdesk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
conversation_idYes

Implementation Reference

  • The @mcp.tool() decorator registers and the function implements the update_ticket_conversation tool, sending a PUT request to the Freshdesk API to update a conversation's body.
    @mcp.tool()
    async def update_ticket_conversation(conversation_id: int,body: str)-> Dict[str, Any]:
        """Update a conversation for a ticket in Freshdesk."""
        url = f"https://{FRESHDESK_DOMAIN}/api/v2/conversations/{conversation_id}"
        headers = {
            "Authorization": f"Basic {base64.b64encode(f'{FRESHDESK_API_KEY}:X'.encode()).decode()}"
        }
        data = {
            "body": body
        }
        async with httpx.AsyncClient() as client:
            response = await client.put(url, headers=headers, json=data)
            status_code = response.status_code
            if status_code == 200:
                return response.json()
            else:
                return f"Cannot update conversation ${response.json()}"
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Update' implies a mutation, the description doesn't specify permissions required, whether the operation is reversible, rate limits, or what the response looks like. This leaves significant gaps for an agent to understand the tool's behavior.

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?

The description is a single, efficient sentence with no wasted words. It's appropriately sized and front-loaded with the core action, making it easy to parse quickly.

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?

Given the complexity of a mutation tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't explain parameters, behavioral traits, or return values, leaving the agent with insufficient context to use the tool effectively.

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 0%, meaning the schema provides no descriptions for the two parameters. The description adds no information about what 'conversation_id' or 'body' represent, their formats, or constraints. This fails to compensate for the lack of schema documentation.

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 clearly states the verb ('Update') and resource ('a conversation for a ticket in Freshdesk'), making the purpose specific and understandable. However, it doesn't distinguish this tool from sibling tools like 'update_ticket' or 'update_ticket_reply', which could cause confusion about scope.

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?

The description provides no guidance on when to use this tool versus alternatives. There are multiple sibling tools for updating ticket-related items (e.g., 'update_ticket', 'update_ticket_reply'), but no indication of which scenarios require 'update_ticket_conversation' specifically.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/effytech/freshdesk_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server