predictMachineFailure

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

With no annotations, the description carries the full burden of behavioral disclosure. It lists specific outputs (failure probability, health score, time window, actions) which is helpful, but it does not explicitly state whether the operation is read-only, what data is required beyond machineId, or any limitations. Since 'predicts' implies non-mutating analysis, it is reasonably transparent but incomplete.

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 concise sentence, front-loaded with the main verb 'predicts' and listing all key outputs without any filler. Every word earns its place.

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 low-complexity tool with one well-described parameter and no output schema, the description adequately covers the return values (probability, health score, time window, actions). The 'estimated failure time window' is slightly vague but acceptable. Overall, the description is complete enough for an agent to understand tool behavior.

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 schema fully describes the only parameter (machineId) with an example (CNC-01), so the baseline is 3. The description adds sensor telemetry context but does not further explain how machineId maps to telemetry data or any format expectations 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 clearly states a specific verb ('predicts') and resource (machine failure probability, health score, failure time window, recommended actions). It distinguishes from sibling tools like getMachineStatus (current state) and predictFactoryHealth (factory-level) by targeting machine-level predictive analysis.

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?

Usage context is implied via 'based on sensor telemetry' and the machine-specific scope, but there is no explicit guidance on when to use this tool versus alternatives like getMachineStatus or getMaintenanceLogs. No exclusions or alternative tool names are mentioned.

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