check_initialization_errors

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

Annotations indicate readOnlyHint=true, suggesting a safe read operation. The description adds behavioral context: it runs a backtest for 'a few seconds' and focuses on initialization errors, which clarifies the scope beyond just reading. However, it doesn't detail side effects (e.g., resource usage), rate limits, or error handling. No contradiction with annotations exists.

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, clear sentence that front-loads the purpose. It's appropriately sized without wasted words, though it could be slightly more structured (e.g., separating purpose from constraints).

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 complexity (involves backtesting and error detection), annotations cover safety (readOnlyHint), and an output schema exists (so return values needn't be described). However, the description lacks details on parameter usage, error conditions, and how it differs from siblings, making it adequate but with 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?

Schema description coverage is 0%, so the description carries full burden. It mentions 'algorithm' indirectly via 'initialize the algorithm', but doesn't explain the 'model' parameter's structure (e.g., files, language) or how it relates to the algorithm. The description adds minimal semantic value beyond the schema's properties.

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: 'Run a backtest for a few seconds to initialize the algorithm and get initialization errors if any.' It specifies the verb ('run a backtest'), resource ('algorithm'), and outcome ('get initialization errors'). However, it doesn't explicitly differentiate from sibling tools like 'check_syntax' or 'create_backtest', which prevents a score of 5.

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. It doesn't mention prerequisites (e.g., needing a compiled algorithm first), exclusions, or compare it to similar tools like 'check_syntax' or 'create_backtest'. The context is implied but not explicit.

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