load_data

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

With no annotations, the description does explain the file output and the auto-detection behavior for date indices. However, it omits important behavioral details such as whether existing files are overwritten, what happens on errors, and what the function returns. This is minimal transparency for a file-writing tool.

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: a concise one-line summary, a behavioral note about date index inference, and a parameter list. Every sentence provides useful information, and the format is easy to scan. The minor typo 'fue' does not detract from overall conciseness.

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 description covers all parameters and the core behavior, but lacks information about return values and error handling. Since there is no output schema, the description should explain what the tool returns after writing the file. It also doesn't mention potential side effects like file overwriting, leaving some gaps for a tool with 8 parameters and no annotations.

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 schema has 0% description coverage, but the tool description thoroughly documents every parameter with added meaning: column can be exact name or integer index, freq meanings (1=annual, 4=quarterly, 12=monthly), default for series_name, etc. This fully compensates for the schema's lack of descriptions.

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 tool loads a time series from Excel/CSV and writes an .inp file, which is a specific verb+resource+outcome. However, it does not explicitly distinguish this from sibling tools like create_inp, so it lacks clear sibling differentiation.

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 provides no guidance on when to use this tool versus alternatives. It explains when parameters must be supplied (date index vs manual) but not when this tool should be chosen over sibling tools. There are no exclusions or alternative references.

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