fpl_bootstrap

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

With no annotations, the description must disclose behavioral traits. It only states 'Get', implying read-only, but does not explicitly confirm no side effects, rate limits, or prerequisites. For a data retrieval tool, this is minimal disclosure.

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 one sentence with no wasted words. It is concise and front-loaded. However, it could be slightly more structured or include a brief note about the data scope.

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 simplicity of the tool (no parameters, no output schema), the description covers basic purpose but lacks contextual completeness: it does not mention that this is a bulk data dump, the typical size of the response, or how it relates to other FPL tools. Adequate but leaves 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?

The input schema has zero parameters, so schema coverage is 100%. The baseline for 0 parameters is 4. The description does not need to explain parameters, but it also does not add any additional context about the absence of required inputs.

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 verb 'Get' and the resource 'Fantasy Premier League bootstrap data', and provides examples ('players, teams, etc.') which helps distinguish it from more specific sibling tools like fpl_player or fpl_fixtures. However, the term 'bootstrap data' may be ambiguous to agents unfamiliar with FPL.

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 guidance is provided on when to use this tool versus alternative FPL tools (e.g., fpl_player, fpl_fixtures). The description does not mention any context or exclusions, leaving the agent to infer usage from the name alone.

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