uncancel_meal

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

No annotations exist, so the description bears the full burden. It does convey meaningful behavioral traits: this is a state-mutating reversal operation, and the api_key argument documents the auth mechanism with its env-var fallback. However, it does not disclose side effects, what happens if no cancellation exists (or failure behavior), or reversibility/idempotency, which leaves clear gaps for a mutation 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?

Highly efficient: a one-sentence purpose statement is front-loaded first, followed by a compact Args block. Every line earns its place — the parameter documentation is essential given the 0% schema coverage, and there is no filler or repetition of schema content.

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?

For a simple 3-parameter tool with an output schema, the description is mostly sufficient for invocation: all parameters are documented and the core action is stated. However, it omits usage routing relative to cancel_meal and key behavioral context (prerequisites, error states), and there are no annotations to fill those gaps. Adequate but with clear gaps.

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%, so the description must compensate — and it does well. It adds a format for meal_date ('YYYY-MM-DD'), enumerates the exact allowed values for meal_type ('breakfast', 'lunch', 'snacks', 'dinner') which the schema lacks via enums, and documents api_key's fallback to MESS_API_KEY. All three parameters receive meaningful semantics 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 states a specific verb and resource: 'Reverse a meal cancellation.' This clearly identifies the tool as the inverse of the sibling cancel_meal and distinguishes it from other siblings like register_meal. It falls short of a 5 because it never specifies the resulting state (e.g., does it restore the registration, affect capacity, or reinstate extras?).

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 usage guidance is provided. The description implies 'use when you need to undo a cancellation,' but it never names alternatives, states when not to use the tool, or gives preconditions (e.g., the meal must currently be in a cancelled state). With 26 siblings including cancel_meal and register_meal, the agent gets zero routing help.

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