get_grid_stability

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

No annotations are provided, so the description carries full burden. It does not disclose any behavioral traits beyond input formats (date/hour) and return type (JSON string). Missing details like rate limits, permission requirements, or what exactly the JSON contains (e.g., keys like 'inertia_level', 'risk_score').

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?

Description is front-loaded with a one-line purpose, followed by structured Args/Returns/Examples. Concise and well-organized, though the docstring format adds some verbosity.

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 explains the concept and provides examples, but lacks details about the output fields (e.g., what 'stability metrics' are included). With an output schema available, the burden is reduced, but the description could still summarize the return structure for completeness.

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?

Schema description coverage is 0%, but the description compensates fully: specifies date format YYYY-MM-DD, hour format HH with default '12' and range 00-23, and provides examples. This adds significant clarity beyond the bare 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 grid stability metrics at a specific time, analyzing synchronous generation vs variable renewables. It distinguishes itself from sibling tools like analyze_demand_volatility or get_carbon_intensity by focusing on grid inertia and stability.

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 when to use (specific time queries) via examples and context, but does not explicitly contrast with alternatives or specify conditions to avoid. It provides clear usage via Args and Examples.

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