rca_dtree_answer

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

The description reveals the iterative, state-mutating behavior (advancing the tree), which is consistent with annotations (readOnlyHint=false, destructiveHint=false). Adds value by describing the loop until resolved. No contradictions.

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?

Short and front-loaded with purpose. Includes Args and Returns sections for structure. The Returns list is somewhat verbose but informative. Overall efficient with no wasted sentences.

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?

Covers purpose, usage pattern, and return fields thoroughly. Lacks error handling details and explicit tie-in to session start tool, but is sufficient for a single-step tool in a multi-step workflow. Output schema exists but description provides a comprehensive return field list.

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 description enumerates the main parameters (session_id, answer, measurement) but does not add significant detail beyond the input schema, which already has descriptions for these nested properties. Schema coverage is 0% for the top-level param, but the description provides a minimal mapping.

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 answers a diagnostic question to advance a decision tree, with a specific iterative usage pattern ('Call repeatedly until status == 'resolved''). It distinguishes from siblings like rca_dtree_start (initiates) and rca_dtree_list_sessions (lists).

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?

Explicitly says to call repeatedly until 'resolved', providing a clear usage pattern. Does not explicitly mention when not to use or alternatives, but the iterative context is strongly implied.

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