Get service ticket
get_service_ticketOne service ticket with customer, service address, schedule, technicians and priority.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| service_ticket_id | Yes | service_ticket_id from list_service_tickets. |
get_service_ticketOne service ticket with customer, service address, schedule, technicians and priority.
| Name | Required | Description | Default |
|---|---|---|---|
| service_ticket_id | Yes | service_ticket_id from list_service_tickets. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without prose. The description's contribution is disclosing what data comes back (customer, address, schedule, technicians, priority), which is genuinely useful since no output schema exists, but it says nothing about missing-record behavior or data freshness.
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?
One short sentence with no filler, and the resource leads the sentence. It sits close to under-specification rather than over-verbosity, but nothing in it is wasted.
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 simple single-record getter with full schema coverage and complete annotations, the description is adequate but thin: with no output schema, the field list carries the entire burden of describing the return shape, and it omits any mention of not-found or permission behavior.
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?
There is a single parameter with 100% schema description coverage, and that schema description already explains provenance ('from list_service_tickets'). The description adds no further meaning about the ID format or validity, so the baseline of 3 for a fully documented schema applies.
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 conveys that this returns a single service ticket along with its associated entities (customer, service address, schedule, technicians, priority), which is specific enough to distinguish it from the plural list_service_tickets and the status-mutating update_service_ticket_status. However, it is a noun phrase rather than a verb+resource statement, so the retrieval action itself is only implied.
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?
The description offers no when-to-use guidance, no prerequisites, and no explicit alternative. The only routing hint is in the schema ('service_ticket_id from list_service_tickets'), which tells an agent where the ID comes from but is structured-field content rather than description text.
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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