create_modelsummary

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

All annotations are false, so description carries full burden but only mentions 'create' without detailing side effects (e.g., file creation, overwrite behavior) or permissions. Adds minimal behavioral context beyond annotations.

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?

Single sentence, no wasted words. However, it is somewhat under-specified for the complexity of the tool, preventing a perfect score.

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 tool's complexity (multiple input types, output tables), the description lacks details about input formats, output structure, and behavior with existing files. Output schema exists but is not shown, so completeness is low.

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 description does not explain any of the 7 parameters. Context signals indicate 0% schema coverage, so the description should compensate, but it fails to add meaning beyond the raw schema.

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 creates publication-style model tables from saved model objects or result JSON files. This is a specific verb+resource and differentiates it from sibling tools that run analyses or manage projects.

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 this tool vs alternatives. The description only states what it does, without mentioning when-not or providing context for choosing over other tools like run_regression_fixest.

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