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jitbit-helpdesk-mcp

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by jitbit

List Jitbit Helpdesk Tickets

jitbit_list_tickets
Read-onlyIdempotent

Retrieve and filter support tickets from Jitbit Helpdesk by status, mode, or pagination to manage customer inquiries.

Instructions

List and filter tickets in Jitbit Helpdesk.

Args:

  • mode (string, optional): Filter mode — "all", "unanswered", "updated"

  • status (string, optional): Filter by ticket status, passed to the Jitbit API as-is

  • limit (number): Maximum results to return, 1-100 (default: 25)

  • offset (number): Number of results to skip for pagination (default: 0)

Returns: List of tickets with ID, subject, status, priority, category, submitter, and assignee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoFilter mode: "all", "unanswered", "updated"
statusNoFilter by ticket status
limitNoMaximum results to return
offsetNoNumber of results to skip for pagination
Behavior3/5

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

Annotations already cover key behavioral traits (read-only, non-destructive, idempotent, open-world). The description adds minimal context beyond this, such as mentioning pagination via 'offset' and the return format, but doesn't disclose rate limits, authentication needs, or detailed behavioral constraints. No contradiction with annotations.

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 description is appropriately sized and front-loaded with the core purpose. The Args and Returns sections are structured but slightly verbose, as some details (e.g., parameter defaults) are redundant with the schema. Most sentences earn their place, though minor trimming could improve efficiency.

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

Completeness4/5

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

Given the tool's moderate complexity, rich annotations, and 100% schema coverage, the description is mostly complete. It explains the return format (list of tickets with fields), which compensates for the lack of an output schema. However, it could better address sibling tool differentiation and usage scenarios to enhance completeness.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema fully documents parameters. The description repeats parameter details (e.g., mode options, limit range) without adding significant meaning beyond the schema, such as explaining how 'status' interacts with 'mode' or providing usage examples. Baseline 3 is appropriate given high schema coverage.

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 tool's purpose as 'List and filter tickets in Jitbit Helpdesk,' which specifies the verb (list/filter) and resource (tickets). However, it doesn't explicitly differentiate from sibling tools like 'jitbit_search_tickets,' which likely has overlapping functionality.

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 its siblings (jitbit_get_ticket, jitbit_search_tickets). It lacks explicit context, exclusions, or alternatives, leaving the agent to infer usage based on tool names alone.

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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