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

The description adds valuable behavioral specifics beyond the readOnlyHint and openWorldHint annotations: row order follows the supplied input, no re-ranking occurs, and missing NodeIDs yield found=false with null fields. This helps the agent predict output behavior without overclaiming.

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?

Three focused sentences deliver the purpose, input expectation, output fields, and edge-case behavior without redundancy. The most important detail (up to 10 validators by NodeID) is front-loaded.

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 a single-parameter tool with no output schema, the description covers the key invocation and response semantics: input type, size limit, output row fields, ordering, and missing-ID behavior. Minor omissions like explicit error handling or wrapper format are acceptable at this complexity level.

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?

With schema_description_coverage at 0%, the description compensates by explaining that the parameter identifies validators by NodeID, supports up to 10 entries, and defines behavior for missing IDs. It does not restate the schema pattern or min/max, but the added meaning is sufficient for correct invocation.

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 states a specific verb ('compare'), resource ('Flare validators'), and identifier ('NodeID'), making the tool's purpose unmistakable. It also differentiates itself from sibling tools like get_flarewatch_validator and get_validator_score by emphasizing side-by-side comparison of up to 10 validators.

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 makes the usage context clear: use this tool when you need to compare multiple specific validators by NodeID. It does not explicitly name alternatives or exclusion conditions, but the intended scenario is evident from the resource and parameter description.

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