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bulk.apply

Execute a batch of write operations with atomic validation and dry-run mode, ensuring all changes apply only if every operation would succeed. Failed writes trigger best-effort restore.

Instructions

Execute a batch of write operations. With atomic=true (default), all ops are first validated in dry-run mode against in-memory snapshots; the actual writes happen only if every op would succeed. If any post-validation write fails, best-effort restore is attempted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opsYes
vaultNo
atomicNo
_budgetNoOptional per-call budget override. maxBulkOps overrides the server default for this call only. 0 = unlimited.
dry_runNo
Behavior4/5

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

Given no annotations, the description carries full burden and reveals key traits: atomic validation, dry-run mode, and best-effort restore. It could be improved by detailing the restore mechanism or potential side effects.

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?

Two sentences, front-loaded with the main purpose, no wasted words. Efficiently structured.

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?

Covers main flow but lacks details on dry-run response format, restore semantics, and parameter descriptions. Adequate but with gaps for a complex batch tool with no output schema.

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

Parameters2/5

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

Schema coverage is 20% (only _budget has a description). The description adds meaning only for 'atomic', leaving ops, vault, and dry_run unexplained. Much overhead remains on the schema.

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 the tool's purpose: executing a batch of write operations with atomicity. It distinguishes itself from sibling tools by focusing on batch execution and validation behavior.

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 explains the default atomic behavior and the dry-run validation process, implying use cases for batch operations. However, it does not explicitly mention when to use this tool versus alternatives like apply_edits or apply_patch.

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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