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

Annotations already disclose a destructive, open-world, non-idempotent mutation. The description adds meaningful behavioral context by saying the action waits for the owner's approval, which is not captured in the annotations, though it does not explain whether removal is also approval-gated.

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?

Two short sentences, front-loaded with the primary action and followed by the approval caveat. There is no redundant or filler text.

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 simple mutation with full schema coverage and no output schema, the description covers the core action, the removal mode, and the approval wait. It leaves minor ambiguity about whether stopping a recommendation also requires approval and what happens after approval, but is broadly complete.

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 parameter meanings are already well documented. The description reinforces the publication/removal toggle but does not add syntax, format, or edge-case semantics beyond the schema.

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 uses a specific verb and resource: recommend or stop recommending another publication to readers. It clearly distinguishes the action from list-oriented siblings like list_recommendations by stating the mutation and toggle behavior.

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?

It identifies the two usage modes (recommend vs. stop recommending) but does not explicitly say when to use this rather than checking existing recommendations via list_recommendations, nor does it state exclusions or prerequisites beyond the approval wait.

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