generate_maintenance_recommendations

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

Since no annotations are provided, the description fully carries the behavioral transparency burden. It discloses the confidence value behavior (echoed without evidential basis), the error handling (ValueError with allowed values, never silent), and the fact that ctx is unused. This goes beyond basic operation and explains underlying logic.

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 moderately long but every element serves a purpose: purpose statement, behavioral caveat, structured Args/Returns/Raises. The front-loaded summary gives immediate understanding, and the structured format makes scanning easy without redundancy.

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 tool with two parameters and important constraints, the description covers all necessary context: inputs, output format, error behavior, and usage nuances. Output schema exists, so return details are handled there. The description is fully adequate for an agent to select and invoke the tool correctly.

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 0%, so the description must compensate entirely. It does so thoroughly: severity_zone is explained as ISO zone letters, and fault_types is described with the canonical vocabulary, the explicit exclusion of BPFO/BPFI/BSF/FTF acronyms, and the meaning of None. This adds meaning well beyond the schema's enum lists.

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: 'Generate maintenance recommendations based on severity and detected faults.' It further specifies the uniqueness by combining ISO zone-based urgency with fault-specific actions, distinguishing it from sibling tools like assess_severity or diagnostic report generators.

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?

Provides explicit guidance on inputs: allowed fault types, the warning against using BPFO acronyms, and the 'None' option for zone-only advice. It also explicitly states the tool does NOT accept a confidence value, which is a clear exclusion. However, it does not compare to alternative sibling tools, leaving some ambiguity about when to choose this over other diagnostic tools.

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