🧐 Analyzing table structure…

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is clear. The description adds that rows are represented as dict mappings, which is useful but not critical. It does not disclose any behavioral quirks like file size limits or format restrictions.

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 brief (two sentences) and front-loaded with the core action. The second sentence details output format, which is optional but acceptable. No fluff or redundancy.

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?

The tool has an output schema (not shown) so return format is handled. The description explains the core functionality and row representation. However, it does not specify supported file formats or error handling, which could be relevant for a 'table-like' tool.

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 coverage is 100% with good descriptions for both parameters. The description does not add additional parameter meaning; the second sentence about row representation is about the output, not parameters. A 3 is appropriate as the schema does the heavy lifting.

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 the action ('Inspect the first rows') and the resource ('table-like files'), and explains the data representation. However, it does not contrast with sibling tools like lookup_table_rows which could cause confusion about whether this tool retrieves arbitrary or only first rows.

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?

No guidance on when to use inspect_table_files versus alternatives (e.g., find_table_files for searching, lookup_table_rows for specific rows). The description lacks any usage context or prerequisites.

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