fastf1-mcp-server

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it's a destructive operation (clears cache), specifies what gets affected (in-memory LRU cache) and what doesn't (FastF1 disk cache), and provides return format examples. It doesn't mention permissions, rate limits, or side effects beyond clearing, but covers the core behavior adequately.

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 well-structured with clear sections (description, args, returns, example, note), front-loaded with the core purpose, and every sentence earns its place by providing essential information without redundancy. It's appropriately sized for the tool's complexity.

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 moderate complexity (2 optional parameters, destructive operation), no annotations, but with an output schema implied by the returns section, the description is complete. It covers purpose, parameters, behavior, return values, examples, and important limitations, leaving no significant gaps for an AI agent to understand and invoke it correctly.

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 fully. It does so excellently by explaining both parameters (year as optional filter, event requiring year) with clear semantics, usage examples, and constraints. The description adds substantial meaning 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's purpose with a specific verb ('Clear') and resource ('cached sessions from in-memory storage'), distinguishing it from sibling tools that are primarily read operations like get_cache_status, get_driver_info, etc. It precisely defines what gets cleared and what doesn't.

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 clear context about when to use this tool (to clear in-memory LRU cache) and when not to use it (FastF1 disk cache is preserved). However, it doesn't explicitly mention alternatives or compare with sibling tools like get_cache_status, though the distinction is implied by the tool's purpose.

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