Branch Thought

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Create a branch') but doesn't explain what this entails—e.g., whether it modifies the original thought, creates a new thought in memory, requires specific permissions, or has side effects like updating chains. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence that front-loads the core action and purpose without unnecessary words. Every part ('Create a branch from an existing thought to explore alternative paths') contributes directly to understanding the tool, making it appropriately sized and well-structured.

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 (which handles return values), no annotations, and moderate complexity with 4 parameters, the description is minimally complete. It covers the basic purpose but lacks behavioral details (e.g., mutation effects) and parameter guidance, leaving gaps that could hinder effective use by an AI agent without further context.

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 50%, with parameters 'thoughtId' and 'newThought' documented in the schema but 'type' and 'confidence' lacking descriptions. The description adds no parameter-specific information beyond what's implied by the tool name (e.g., 'thoughtId' for branching). It doesn't compensate for the coverage gap by explaining enum values for 'type' or the meaning of 'confidence', resulting in baseline adequacy.

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 ('Create a branch') and resource ('from an existing thought') with a specific purpose ('to explore alternative paths'). It distinguishes this from sibling tools like 'addThought' or 'completeThoughtProcess' by focusing on branching rather than adding or finishing thoughts. However, it doesn't explicitly differentiate from all siblings like 'evaluateThought' or 'updateLongTermMemory' in the same sentence.

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 explicit guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing thought), exclusions (e.g., when not to branch), or comparisons to sibling tools like 'addThought' for new thoughts or 'evaluateThought' for assessing existing ones. The purpose implies usage for exploration but lacks actionable context.

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