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Bulk create

bulk_create

Create multiple records of a resource type in one API call (max 100). Each item is processed independently - one failure does not affect others. Returns per-item results. Requires {resource}:write scope. Counts as 1 request for rate limiting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of objects to create (max 100). Each object uses the same fields as the single-create endpoint for that resource.
resourceYesResource type (e.g. "assets", "work-orders")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the annotations (which only flag it as a non-idempotent write), the description discloses partial-failure semantics ('each item is processed independently - one failure does not affect others'), the required write scope, and the rate-limit accounting ('counts as 1 request'). These are exactly the traits an agent needs before invoking a mutating bulk 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 short sentences, each carrying distinct information (batching, partial-failure behavior, return shape, auth and rate-limit cost), with the core purpose front-loaded. Zero filler.

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 two-parameter, no-output-schema tool, the description compensates well by noting that per-item results are returned and that failures are isolated, plus scope and rate-limit constraints. Nothing essential for correct invocation is missing.

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 both `items` and `resource` are already documented in the schema, including the max-100 bound. The description adds the `{resource}:write` scope note but no field-level or format detail beyond the schema; baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb and resource with scope: 'Create multiple records of a resource type in one API call (max 100).' The bulk framing implicitly distinguishes it from the many single `create_*` siblings, but it never names a specific alternative, so the differentiation is inferred rather than explicit.

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 'multiple records ... in one API call' and max-100 framing imply when bulk is appropriate, but there is no explicit when-to-use rule or named alternative (e.g. 'use create_asset for a single record'). Context is present but left to the agent's inference.

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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