fpl_analyze_team_fixtures

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

The description adds behavioral context beyond annotations, including error handling specifics (e.g., returns error if team not found, no upcoming fixtures, data unavailable) and detailed output characteristics (opponent strength, home/away, average difficulty rating). It does not contradict annotations and enriches the agent's understanding.

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 (purpose, args, returns, examples, error handling). Each sentence adds value, and it is front-loaded with the main purpose. Appropriate length 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 has an output schema (not shown), the description still covers key return elements (opponent strength, home/away, rating) and error conditions. It is complete for an agent to understand inputs, outputs, and failure modes.

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?

Despite schema description coverage being 0% (the top-level params parameter lacks schema description), the tool description compensates by thoroughly documenting parameters: team_name with examples, num_gameweeks with range and default, response_format with options and default. It adds examples and error handling, providing meaning beyond the schema's property descriptions.

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: 'Analyze upcoming fixtures for a specific Premier League team to assess difficulty.' It specifies the output (next N gameweeks, opponent strength, home/away, average difficulty rating) and distinguishes implicitly from siblings like fpl_find_fixture_opportunities which focus on cross-team opportunities.

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 explicitly states when to use: 'Very useful for identifying good times to bring in or sell team assets based on fixture difficulty.' It provides clear context but does not explicitly mention when not to use or compare to alternatives.

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