load_intraday_data

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

Since no annotations are present, the description carries the full burden. It discloses that the tool 'sets the dataset for the whole server process, not per-conversation' and mentions the restorative sibling, which is good. However, it could explicitly state that it overwrites existing data.

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 somewhat lengthy due to the detailed parameter specification, which is necessary. However, it is front-loaded with the main purpose and well-structured. Still, it could be more concise by moving parameter details to a structured example.

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 that there is no output schema and the input is complex, the description covers all necessary context: what the tool does, how it affects other tools, how to restore the default, and the exact structure of the input data. No additional explanations are needed for an agent to use this tool 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 0% description coverage for properties, but the description provides a comprehensive specification: required fields, optional fields, data types (list of strings, objects), and constraints (percentages 0-100, times in seconds, staffing counts). This fully compensates for the schema's lack of detail.

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 'Replace the Intraday dataset with the user's own queues', using a specific verb and resource. It also distinguishes itself from sibling tools like reset_intraday_data by explaining that this loads custom data while that restores demo data.

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 explicitly says when to use this tool: 'so every other tool analyzes THEIR data instead of the built-in demo'. It also provides an alternative: 'Call reset_intraday_data to restore the demo dataset', giving clear when-not guidance.

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