get_demand_summary

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

No annotations are provided, so the description fully carries the burden of behavioral disclosure. It does not mention whether the tool is read-only, any required permissions, rate limits, or side effects. While it states it returns a JSON string, deeper behavioral context is absent.

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 concise and well-structured: a one-line purpose, a brief convenience note, structured Args/Returns/Examples sections. No redundant information, and every sentence serves a purpose.

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 simplicity (one parameter, a summary), the description covers purpose, parameters, return format, and usage example. It could be more complete by explaining the output structure in detail, but since an output schema exists (not shown), the return mention is sufficient. Minor gap compared to siblings.

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?

With 0% schema description coverage, the description fully compensates by documenting the sole 'date' parameter: specifying format (YYYY-MM-DD), default value (2025-10-08), and providing an example. This adds meaning far beyond the bare input 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 retrieves a summary of electricity demand for a specific date, using a specific verb and resource. It distinguishes itself from siblings like analyze_demand_volatility or get_daily_demand_statistics by specifying it is a 'convenience tool' that provides key demand indicators in a single call.

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 lacks guidance on when to use this tool versus similar alternatives like get_daily_demand_statistics. It does not specify prerequisites, when-not-to-use scenarios, or decision criteria for selecting this tool over siblings.

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