Connect weather forecast bus

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

Annotations declare readOnlyHint=false and destructiveHint=false, which already establish that this is a write operation. The description adds a list of scaffold components but does not disclose additional behavioral details such as external dependencies, network calls, or side effects on existing data. It does not contradict the 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?

The description is a single sentence that front-loads the primary action and lists components. It is concise with no redundant filler. However, it could be more informative without sacrificing conciseness, so it does not receive a 5.

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 has 10 parameters, no output schema, and modest annotations, the description is too brief to provide complete context. It does not explain return values, expected behavior after creation, or how to work with the scaffold. The list of components is ambiguous (e.g., 'safety-policy notes' is unclear), leaving substantial gaps for the agent.

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 only 20% (2 of 10 parameters have descriptions). The description lists high-level components ('forecast rows', 'sensor maps', 'alert maps', 'adapter source', 'safety-policy notes') that vaguely map to parameters like sensor_count, alert_count, and adapter_url, but it does not clarify default values, enum meanings, or parameter relationships. With low schema coverage, the description fails to compensate meaningfully.

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 uses a specific verb ('Create') and identifies a clear resource ('weather forecast/station scaffold') with a list of included components (forecast rows, sensor maps, alert maps, etc.). This makes the purpose understandable, but it does not explicitly compare to sibling tools, so it doesn't fully distinguish from similar 'connect_*' or 'create_*' tools.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or preferred contexts. It only states what the tool does, leaving the agent to infer the usage scenario from the name and description.

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