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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only describes content ('criteria and any filters') without stating whether the tool is read-only, what output it produces, or how the data is presented. This leaves the agent without a clear model of the tool's behavior.

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 extremely brief and contains no filler or redundant phrasing. It front-loads the core subject matter, though its noun-phrase structure sacrifices some clarity for brevity.

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 zero-parameter tool, the description conveys the subject matter but not the expected action or return value. The absence of an output schema and lack of behavioral context mean the description is minimally complete but not fully self-sufficient.

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 zero properties, so there are no parameters to document. The description does not need to explain any parameter semantics, and the baseline for zero-parameter tools is 4.

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 identifies a clear resource: 'the criteria and any filters' for the US HVAC field service management platforms comparison. However, it is phrased as a noun fragment rather than a specific action like 'returns' or 'lists', so the operation is inferred rather than stated. It distinguishes itself somewhat from sibling tools by referencing criteria/filters rather than options or a table.

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?

There is no guidance on when to use compare_criteria versus alternatives like compare_options or compare_table. The purpose implies it provides the comparison criteria, but no explicit usage conditions, exclusions, or selection criteria are provided.

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