analyze_position

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

There are no annotations, so the description carries the full behavioral burden. It usefully discloses the evaluation convention (from the side-to-move perspective), which prevents sign errors, but says nothing about compute cost, latency, blocking behavior, or determinism for an engine call with a configurable node budget.

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?

Two terse sentences with no waste; the core operation is front-loaded and the evaluation convention follows immediately.

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?

An output schema exists, so return values need not be described. Still, given three undocumented parameters and numerous sibling analysis tools, the definition is only minimally sufficient to call the tool 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 explain all three parameters. It addresses only 'fen' implicitly and says nothing about 'nodes' (search budget) or 'multipv' (number of lines returned), which are non-obvious tuning knobs an agent needs explained.

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?

States a specific verb (analyze) plus resource (FEN position) and names the engine (Stockfish), so the operation is unambiguous. However, it does not distinguish itself from close siblings such as evaluate_position, analyze_positions, or evaluate_move, leaving the agent to guess which entry point applies.

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 gives no when-to-use guidance, no prerequisites, and no mention of the many alternative analysis tools (evaluate_position, analyze_positions, evaluate_move). The agent must infer the choice from names alone.

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