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search_tickets

Find tickets in Otobo by filtering on queue, state, priority, customer, title, ticket number, or date ranges.

Instructions

Search Otobo tickets by various criteria (Queue, State, Priority, CustomerUser, Title, TicketNumber, date ranges, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results (default: 100)
locksNoFilter by lock state: 'lock' or 'unlock'
titleNoSearch by ticket title (substring match)
typesNoFilter by ticket types
queuesNoFilter by queue names, e.g. ['Raw', 'Junk']
statesNoFilter by state names, e.g. ['new', 'open']
sort_byNoSort field, e.g. 'Age', 'Ticket', 'Created', 'Changed', 'Priority', 'Queue', 'State', 'Owner'
order_byNoSort order: 'Up' (ascending) or 'Down' (descending)
prioritiesNoFilter by priority names, e.g. ['3 normal', '4 high']
changed_afterNoOnly tickets changed after this date (YYYY-MM-DD HH:MM:SS)
created_afterNoOnly tickets created after this date (YYYY-MM-DD HH:MM:SS)
customer_userNoFilter by customer user login
ticket_numberNoSearch by exact ticket number
changed_beforeNoOnly tickets changed before this date (YYYY-MM-DD HH:MM:SS)
created_beforeNoOnly tickets created before this date (YYYY-MM-DD HH:MM:SS)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only lists filter criteria but does not mention pagination, sorting behavior, error handling, or what happens with no results. The agent lacks critical context about execution.

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 sentence under 20 words, listing key filters compactly. No redundancy or fluff.

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?

With 15 parameters and no output schema or annotations, the description is minimal. It covers the high-level purpose but omits details like return format, pagination (limit is not explained), and sort order. Adequate but could be more complete.

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 coverage is 100%, so baseline is 3. The description lists filter criteria but adds no new meaning beyond the schema descriptions, which already detail substring match, date format, etc. It does not improve semantic understanding.

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 clearly states it searches Otobo tickets by various criteria, listing specific filters like Queue, State, Priority, etc. This distinguishes it from sibling tools like get_ticket (single ticket) or create_ticket (creation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for searching/filtering tickets, but does not explicitly state when to use vs alternatives (e.g., use get_ticket for a single ticket). No exclusions or prerequisites mentioned.

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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