zwave_remove_association

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

No annotations provided; the description only mentions one behavioral trait ('Raises ValueError for an unknown source node id'). It does not disclose other effects like mutation, prerequisites, or result format.

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?

Description is short and front-loaded with the main action. No unnecessary words. Parameter list is clear but could be more 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?

With 5 parameters, no output schema, and no annotations, the description lacks usage guidelines, return values, and effects of removal. Users are left uncertain about what happens after the operation.

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). The description adds some semantics with examples ('e.g. 5') and defaults ('defaults to the root device'), but does not fully explain each parameter beyond names.

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 ('Remove') and the resource ('association from a source node's group to a target node'). It distinguishes from sibling tools like zwave_add_association and zwave_associations.

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?

No guidance on when to use this tool vs alternatives (e.g., when to remove vs add or list associations). The description only lists parameters without usage context.

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