validate_rate_alert

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

No annotations are provided, so the description carries full burden. It states it validates and returns errors but does not explicitly confirm that the operation has no side effects (e.g., does not create or update). The behavior regarding checking existing resources (e.g., with uuid) is unclear.

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 only two short sentences, front-loaded with the main action. Every word is essential and there is no wasted text. It effectively communicates the tool's purpose and outcome.

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 complexity (8 parameters, no output schema, no annotations), the description is too brief. It lacks details about the return format, error structure, and whether validation checks against existing data. The agent needs more context to handle responses properly.

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 only 13% (only uuid has a description). The description adds no parameter meaning beyond the generic 'validates parameters.' It does not explain parameters like sell_currency, amount, etc., despite low schema coverage.

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 it validates rate alert parameters for creation/updating and returns errors. It distinguishes from sibling create/update tools by indicating it's a pre-check, and from other validation tools by specifying 'rate alert parameters'.

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 says 'before creating or updating,' providing clear context for when to use this tool. However, it does not explicitly exclude alternatives or state when not to use it, but the purpose is sufficient for an AI agent to understand the usage scenario.

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