read_metadata_tool

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

No annotations are provided, but the description offers detailed return structures for both Excel and CSV, including status, file info, and column stats. It does not disclose potential side effects or limitations like file locking, but the output clarity is high.

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 well-structured with Args and Returns sections, front-loading the purpose in the first sentence. It is slightly verbose but each part adds value, making it efficient for an agent.

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 simplicity of the tool (one parameter, no output schema), the description provides a comprehensive overview of inputs and outputs, including file types, structure, and common columns. It is complete for an agent to use correctly.

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 one parameter (file_path) with no description, but the description adds significant meaning by specifying that it requires an absolute path to a data file. Since schema coverage is 0%, the description fully compensates.

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 that the tool reads file metadata from Excel or CSV files and returns it in a structured MCP-compatible format. It distinguishes itself from siblings like generate_chartjs_tool (chart generation) and interpret_column_data (data interpretation) by focusing on metadata extraction.

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 implies usage when metadata from Excel or CSV files is needed, but it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites.

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