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

The description goes far beyond the annotations by disclosing the ~1-minute republish delay, the atomic rejection of invalid rowIds/field ids with nothing changed, the untouched-state of unnamed rows, and the full-replace semantics of the rows parameter. These are behavioral traits an agent needs to predict side effects, and they complement the destructiveHint annotation consistently.

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 dense and every sentence earns its place, but it is a long single paragraph with heavy use of capitalization and semicolons. This reduces scannability slightly, though the content is well-organized and front-loaded with the core purpose.

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?

For a destructive, multi-mode mutation tool with no output schema, the description is remarkably complete. It covers all five parameters' operational semantics, failure behavior, id sourcing, image cell formatting, and publication timing. An agent has enough information to invoke the tool correctly and predict the main side effects.

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?

Although the schema already covers all parameters, the description adds critical semantic detail not present in the schema: image cells require { mediaId, path } from upload_media, row ids must come exactly from get_data_collection, unknown ids reject the whole patch, and rows only works for complete rewrites. This materially improves the agent's ability to construct correct calls.

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 action and resource: updating a Dplooy Data collection's rows. It distinguishes between row-level operations and whole-set replacement, and it references get_data_collection and upload_media, helping an agent separate it from sibling tools. Even without reading the schema, an agent knows exactly what the tool does and its main operational modes.

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?

Usage guidance is explicit: rowEdits/addRows/deleteRowIds are marked PREFERRED, while rows is reserved for full rewrites. It also explains that deletion only happens through deleteRowIds and tells the agent where to obtain row ids and image media payloads. This leaves no ambiguity about when to use each mode.

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