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

With no annotations, the description carries the behavioral disclosure burden. It clearly indicates this is a metadata-retrieval operation and enumerates the categories of information returned. It does not describe potential implicit behavior such as whether the tool runs any analysis or only returns static information, but the phrasing strongly implies a read-only informational call.

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, focused sentence that front-loads the tool's core purpose and then provides a concise list of the metadata categories. Every word contributes meaning, with no repetition or filler.

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 the tool's simplicity (zero parameters, no output schema), the description is complete enough: it tells an agent what the tool returns and the scope of that content. It leaves no major ambiguity about what the agent will get by invoking it.

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 tool has zero parameters, so the baseline is 4. The description adds context by mentioning that the tool's input schema is part of the returned metadata, which is sufficient given that no parameters need explanation.

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 uses a specific verb and resource: 'Get metadata about the repair-or-replace decision tool.' It further clarifies the exact contents (what it does, assumptions, thresholds, fees, input schema), making the tool's purpose unambiguous and distinguishable from sibling tools like run_hvac_repair_or_replace_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?

The description implies the tool is used when an agent needs metadata about the repair-or-replace decision tool, but it does not explicitly state when to use it versus siblings such as run_hvac_repair_or_replace_analysis or search_hvac_decision_content. There is no direct comparison or exclusionary guidance.

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