batch_operations

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

No annotations are provided, so the description carries the full transparency burden. The description mentions mutating operations (create/update/delete) but doesn't disclose transactional behavior—whether operations are atomic (all-or-nothing) or partially applied, whether there are auth requirements, or what happens on partial failure. For a batch mutation tool this is a significant gap since rollback/atomicity semantics are critical.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence that packs purpose, scope, and use case. It's front-loaded with the core 'multi-table batch operations' concept. Very little waste, though it could arguably be slightly more detailed given the criticality of the tool.

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

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

This is a powerful mutation tool (up to 50 operations across multiple tables) with no annotations and no output schema. The description should disclose atomicity/transaction guarantees, error handling for partial failures, and effects on dependent data. None of these are addressed, making the description under-specified for a tool of this complexity and risk profile.

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

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

Schema description coverage is 100%, so the structured schema fully documents the 'operations' array and each sub-field (action, table, id, data). Description adds minimal parameter info beyond that. Baseline 3 is appropriate since the schema does the heavy lifting for parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb+resource combination: executes create/update/delete operations across multiple tables in a single call. It explicitly names the batch nature ('複数テーブルへの...1回で実行') which distinguishes it from the numerous single-entity sibling tools. The purpose is unmistakable and well-differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a concrete use case ('近況報告などをまとめてDBに反映する際に使う' - when reflecting multiple updates like status reports to the DB at once), which implies 'use this when you have multiple related DB changes'. However, it doesn't explicitly state when NOT to use it or name specific alternatives (like the individual create/update/delete tools), so guidance is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.