batch_edit_tables

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'mass change' without mentioning atomicity, failure handling, permission requirements, whether existing values are overwritten, or how the operation interacts with branches. For a mutation tool, this lack of detail leaves significant ambiguity.

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 concise, front-loaded with the main purpose, and uses a clearly formatted Args list with an illustrative example. Every sentence earns its place, and there is no filler or redundancy.

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?

The description provides adequate parameter semantics and the output schema exists to cover return values, but it lacks guidance on when to use this tool, the transaction/atomicity behavior, and error handling. For a batch mutation tool, this incomplete contextual information leaves the agent unsure about important operational details, though the core use case is covered.

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 coverage is 0% (no parameter descriptions in the schema), but the description compensates well. It defines each parameter (schema_uuid, items, branch_name) and provides a concrete example of the items structure including table_uuid and data with sample fields. This adds meaning beyond the bare schema, though it does not enumerate all allowed data fields.

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 the tool's purpose: 'Массово изменить несколько таблиц одним запросом' (mass change several tables with one request). This both identifies the action (change/edit) and the resource (tables), and distinguishes it from single-table tools like edit_table by emphasizing the batch aspect.

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 implies usage for multi-table updates via 'несколько таблиц' (several tables) and provides an example, but it does not explicitly say when to prefer this tool over edit_table or any other sibling. There are no exclusions or alternative references, leaving usage context implicit rather than stated.

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