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Apply 1 to 512 place/remove ops in one call. Ops run in order; results come back per op. Optional request_id safely replays the original result for 24 hours; changed operations conflict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opsYes
builderNo
request_idNoCaller-generated canonical lowercase UUIDv4. Retained for 24 hours; unknown/expired is not proof of non-commit.
protect_existingNoAtomically reject accepted edits to cells occupied before the batch; preview is only a KV estimate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / protect_existing
      Added value: +{
      +  "default": false,
      +  "description": "Atomically reject accepted edits to cells occupied before the batch; preview is only a KV estimate.",
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / request_id
      Added value: +{
      +  "description": "Caller-generated canonical lowercase UUIDv4. Retained for 24 hours; unknown/expired is not proof of non-commit.",
      +  "maxLength": 36,
      +  "minLength": 36,
      +  "pattern": "^[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$",
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • addedInput schema / properties / builder
      Added value: +{
      +  "type": "string"
      +}
  4. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does disclose real behavioral traits: ops execute in order, results are returned per op (implying possible partial success rather than all-or-nothing), and request_id provides 24-hour replay with conflict detection on changed operations. It omits auth requirements, rate limits, and explicit atomicity/rollback behavior, which keeps it short of a 5.

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?

Three tight sentences, front-loaded with the core capability, then ordering/result behavior, then idempotency. No filler or redundancy.

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?

There is no output schema, so the description should characterize the return shape, but 'results come back per op' is thin for a tool whose result structure (per-op status, error entries, request_id echo) matters to callers. Two of four parameters plus partial-failure semantics remain unaddressed, leaving it only minimally viable.

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 50%, so the description should compensate. It reinforces the 1-512 ops bound and adds real meaning for request_id ('changed operations conflict'), but builder and protect_existing are never mentioned, and the request_id retention detail largely restates the schema description.

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 action and scope: apply 1-512 place/remove ops in one call, with per-op results. This implicitly distinguishes it from the single-op siblings (place_cube, remove_cube) and the non-mutating preview_build, but never names those alternatives, so the differentiation is left to inference.

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 'in one call' framing implies this is the batched path versus single-cube writes, and the 1-512 bound hints at the intended scale. However, there is no explicit statement of when to prefer this over place_cube/remove_cube or preview_build, and no prerequisites or exclusions.

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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