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Save Ticket Delivery Plan

save_ticket_delivery_plan

Explicitly replace or clear a ticket plan. Dates and working-day duration are separate from points. Pass current expected_version; reuse exact request_id on retries. Changed saves atomically record immutable revision and plan_changed history. No automatic scheduling/execution. Requires tickets:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
ticket_idYes
request_idYes
expected_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description adds substantial behavioral detail beyond the annotations: atomic saves, immutable revisions, plan_changed history, no automatic scheduling, and the tickets:write permission requirement. It also clarifies that clearing is an explicit supported action, which is valuable context for a mutating tool.

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?

Four dense sentences with no filler. The primary action, key preconditions, effects, and exclusions are front-loaded and each sentence adds distinct value.

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

Completeness5/5

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

For a mutating tool with no output schema, the description covers invocation requirements, retry behavior, side effects, authorization, and non-behavior. No critical gap remains for an agent to call it correctly.

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

Parameters4/5

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

Schema description coverage is 0%, so the description carries the burden. It explains expected_version (current version required), request_id (reuse on retries), and the conceptual distinction between dates/duration and points. It does not elaborate on all nested plan fields, but their names and schemas are largely self-explanatory.

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 states a specific verb ('replace or clear') and a clear resource ('ticket plan'), making the operation unambiguous. It also implicitly distinguishes itself from sibling read/history tools like get_ticket_delivery_plan and list_ticket_delivery_plan_history.

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?

The description gives clear preconditions and retry guidance: pass current expected_version and reuse request_id on retries. It also clarifies what the tool does not do ('no automatic scheduling/execution'), but it does not explicitly name an alternative for scheduling.

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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