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

No annotations are provided, and the description is a single declarative statement with no mention of side effects, supported SQL dialect, limitations, or reading behavior. It does not disclose what the agent should expect in terms of output or permissions.

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 one sentence, perfectly front-loaded, with no redundant words—ideal for a simple tool. Every word adds value and it is no longer than necessary.

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?

While the tool is simple and schema coverage is 100%, the lack of output schema and absence of any behavioral notes mean the description leaves some ambiguity about return format and SQL feature support. The example query helps, but it's borderline 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 already describes both parameters (csv data and query) with 100% coverage, including an example query. The description adds nothing beyond what the schema provides, so baseline 3 applies.

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?

Description uses specific verb 'Run' with resource 'CSV data' and method 'SQL-like queries', clearly distinguishing it from sibling tools like csv-excel-converter which converts formats. The title and description align perfectly.

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 clearly implies this tool is for executing queries against CSV data, giving context that it's for data retrieval/filtering rather than format conversion. However, it does not explicitly name sibling alternatives or state when not to use it.

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