add_to_reading_list

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

With no annotations provided, the description carries the transparency burden. It discloses the automatic 'readlater' tag, which is useful, but it does not mention other behavioral aspects such as whether the bookmark must already exist, whether it creates a new bookmark, or any side effects. The disclosure is partial but not misleading.

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 sentence that is front-loaded with the primary action and includes a parenthetical clarification of the automatic tagging. There is zero redundant information, making it highly concise and well-structured.

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?

Given the tool's simplicity, the description covers the essential behavioral context (automatic tagging, reading list target). An output schema exists, so return values need not be described. The only notable gap is whether the bookmark must already exist or is created as part of the operation, but overall the description is adequately complete for typical use.

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 each parameter (url, notes, title, description) is already documented. The description adds no additional parameter-level meaning beyond the automatic tagging behavior, which is not parameter-specific. Baseline 3 is appropriate.

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 action ('Add a bookmark directly to your reading list') and distinguishes this tool from siblings like create_bookmark by specifying the reading list target and the automatic 'readlater' tagging. The verb+resource is specific and unambiguous.

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 clear context: use this tool when you want to add a bookmark to the reading list with automatic tagging. It does not explicitly mention alternatives or exclusions, but the automatic tagging detail strongly implies the intended use case versus a generic bookmark creation.

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