rc_add_cause

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

No annotations are provided, so the description carries the full burden. It fails to disclose side effects (e.g., whether it modifies the session state), return behavior, error conditions, or dependencies. The description only repeats information already available in the parameter schema without adding behavioral context.

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, efficient sentence that front-loads the primary action. It is not verbose, and every word serves a purpose. However, it could benefit from a brief structured layout for clarity, such as separating the primary action from optional details.

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 6 parameters, no output schema, and no annotations, the description is too sparse. It omits crucial context such as the need for a prior session, error handling, and the meaning of HFACS classification. A more complete description would explain typical usage and expected outcomes.

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%, granting a baseline of 3. The description adds minimal meaning beyond the schema: it mentions sub-causes, evidence, and HFACS classification, which are already defined as optional parameters. No constraints or relationships between parameters are explained.

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 verb 'Add' and the resource 'cause to a Fishbone category', distinguishing it from siblings like rc_add_causal_link or rc_init_fishbone. It also lists optional attributes (sub-causes, evidence, HFACS classification), making the tool's function precise 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 does not specify when to use this tool versus alternatives (e.g., rc_add_causal_link). No context about prerequisite actions (like initializing a session or fishbone) or typical workflow is provided, leaving the AI agent to infer usage from the tool name alone.

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