kaggle_competition_landscape

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

Annotations declare readOnlyHint=true and destructiveHint=false, and the description does not contradict them. It adds behavioral context by describing the output as a 'single decision-ready artifact' rather than raw endpoint output, which provides useful insight into what the tool produces.

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 extremely concise, using two sentences to convey purpose, output format, sorting, and differentiation from siblings. It is front-loaded with the most important information.

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 provides a clear overview of what the tool returns and its use case, but it omits any guidance on parameters. Since the tool has four optional parameters that control output (limit, search, category, include_ended), the description is incomplete for effective usage without schema inspection.

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%, and the description does not mention any of the four parameters (limit, search, category, include_ended). Since there are no enums and no param descriptions in the schema, the description fails to add meaning to the parameters, leaving the agent unaware of filtering or limiting capabilities.

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 defines the tool as a 'pre-digested triage report' of competitions, listing specific fields (slug, prize, evaluation metric, deadline, days_left) and states it is sorted by soonest deadline. It contrasts with other Kaggle MCPs that return raw output, making its purpose distinct.

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 indicates using the tool to decide which competitions to enter at a glance, implying a quick overview use case. It explicitly contrasts with other Kaggle MCPs, giving a sense of when to use this versus alternatives. However, it does not explicitly state when not to use it.

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