generate_operator_artifact

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

Annotations indicate readOnlyHint=true, so the tool is read-only. The description adds context about data sources and output type, but does not disclose details such as rate limits, authentication requirements, or whether the operation is idempotent. Given annotations, the description is adequate but not rich.

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 one sentence of 18 words, front-loaded with the core purpose ('Dynamic operator artifact generator'). Every word adds value, no fluff. Perfectly concise.

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?

The tool has 3 parameters and no output schema. The description explains what it does but lacks details on output format or error handling. Given the complexity (parameter enums), the description is minimally complete but could elaborate on expected outputs.

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?

The input schema has 100% description coverage for all 3 parameters. The description does not add significant meaning beyond the schema; it vaguely references the data types (PR, reliability, etc.) which map to enum values. 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 tool's function: generating an operator artifact from ThumbGate data (PR, reliability, revenue, release) into a decision-ready pulse. It specifies the verb 'generates' and the resource 'operator artifact', distinguishing it from siblings like 'dashboard' or 'get_business_metrics'.

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 implies usage for creating decision-ready pulses from specific data types but does not explicitly state when to use this tool versus alternatives like 'dashboard' or 'evaluate_context_pack'. There is no mention of when not to use it or which sibling to prefer.

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