explore_reasoning_space

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

No annotations are provided, so the description carries the full burden. It usefully discloses the exploration policy (curiosity-biased toward low exploration_count nodes) and that the result includes 'updated exploration_counts', hinting at state mutation, but it never states whether those counts are persisted, whether the walk is read-only, or any permission/rate considerations.

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?

Front-loaded with the core behavior in the first line, then a clean Args/Returns structure. The args list is slightly redundant ('ID of diagram', 'Starting node ID' for self-evident fields), but overall the wording is efficient with little waste.

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 the Returns block is a bonus rather than a requirement. However, with no annotations at all on a tool that mutates exploration state, the description omits the safety/statefulness context an agent would need to call it confidently.

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 is the only source of parameter meaning, and it does compensate well: it explains each of the four args, restates defaults for steps (5), and gives real semantics for temperature ('0.0 = greedy unvisited, 1.0 = highly random'). Only 'steps' is left as a near-tautology.

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 gives a specific verb and resource — a random walk over the diagram driven by a 'curiosity metric' using NavigationMemory — and names the mechanism (prioritizing low exploration_count nodes). It is clear what the tool does, but it never distinguishes itself from the navigation siblings navigate_breadth_first, navigate_guided, or explore_equivalent_states.

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?

There is no explicit when-to-use, when-not-to-use, or alternative-selection guidance. With three sibling navigation tools (breadth-first, guided, equivalent-state exploration) available, the agent is left to infer which one applies; the description only implies an exploratory use case.

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