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Ticket Batch Create

ticket_batch_create
Idempotent

Preview or idempotently commit one atomic owner-private batch of structured tickets and nested subtickets. Preview is non-mutating and returns the normalized commit payload, exact preview_token, and deterministic predicted IDs as JSON. Commit requires that exact token: combine commit_payload with mode=commit, the caller-held idempotency_key, and preview_token. It returns the same IDs plus replay status. A caller-stable visible-ASCII idempotency_key is always required. MCP authorship is stamped by the server; callers cannot spoof it. Nested subtickets are bounded and validated by the ticket handler before any write. This never executes, sends, publishes, deletes, or mutates an external provider.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
ticketsYes
parent_idNo
preview_tokenNoExact preview_token returned by preview mode.
idempotency_keyYesCaller-stable visible-ASCII key. Reuse only for the exact same operation and payload.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

TDQS

A4.4/5.0
Behavior5/5

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

Annotations only indicate idempotentHint=true, but the description adds substantial context: preview is non-mutating, commit requires a token and returns replay status, MCP authorship is server-stamped and cannot be spoofed, subtickets are bounded/validated, and the tool never touches external providers. This goes well beyond the annotations and clarifies all key behaviors.

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 dense but every sentence adds value: purpose, preview behavior, commit flow, idempotency key requirement, server authority, validation, and external boundary. It is front-loaded with the main purpose and uses a logical flow without redundancy or fluff.

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 complexity (preview/commit, atomicity, idempotency, nested subtickets) and that an output schema exists, the description covers the necessary workflow, return behaviors (normalized payload, predicted IDs, replay status), and constraints. It does not mention edge cases like what happens if the idempotency_key is reused with a different payload, but it is reasonably complete for an agent to use the tool correctly.

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 only 40%, so the description must compensate. It explains the roles of mode, preview_token, and idempotency_key clearly, but does not describe the 'tickets' or 'parent_id' parameters. The schema itself does provide descriptions for some fields (idempotency_key, preview_token, status, ticket_type), so the description partially fills the gaps but not completely.

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 starts with 'Preview or idempotently commit one atomic owner-private batch of structured tickets and nested subtickets,' which clearly identifies the tool's action (preview/commit), resource (batch of tickets), and key characteristics (atomic, owner-private). It distinguishes itself from single-ticket tools like ticket_create by emphasizing batch and preview/commit flow.

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 explicitly outlines the two-phase usage: preview first, then commit with the exact returned preview_token. It also specifies that idempotency_key is always required and confirms the tool never mutates external providers. However, it does not directly name alternative tools or state when to use batch create over single create, though the batch context is implied.

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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TDQS

A3.6/5.0
Disambiguation5/5

Every tool targets a distinct resource and action, with detailed descriptions that clearly separate overlapping domains (e.g., consulting vs. marketing vs. outreach). Even within the same domain, tools like 'create_consulting_deliverable' and 'create_consulting_document_revision' are unambiguous due to their specific nouns.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., 'create_invoice', 'get_deal', 'list_agents'). The few exceptions like 'locus_determine_from_scores' still adhere to the verb_noun structure and do not break the pattern.

Tool Count1/5

With 124 tools, the server is massively over-scoped for typical MCP use. The tool count far exceeds the '50+ extreme mismatch' threshold, making it nearly impossible for an agent to efficiently navigate or select the right tool without extensive context. Even a large platform should consolidate or expose fewer tools.

Completeness5/5

The tool surface covers CRUD and lifecycle operations across at least 10 domains (sales, consulting, marketing, outreach, accounting, workflows, ticketing, API keys, feedback, platform metrics). Each domain appears to have no obvious gaps—e.g., invoicing includes create, update, send, mark paid, void; ticketing includes create, update, archive, dependencies, batch, scenarios, validation.

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