athena_state_transition_model

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 discloses what the tool exposes (predictive covariance, parameter-information leverage) but does not state whether this is a read-only operation, whether it modifies or persists any state, or what assumptions or side effects accompany fitting. Without this context, the agent cannot anticipate mutations, permissions, or data requirements.

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, dense sentence that wastes no words. It front-loads the main action ('Fit') and packs in the key outputs and input type. While the terminology is advanced, the precision and efficiency are excellent for a technical tool.

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?

This is a complex statistical tool with 4 parameters, no output schema, and no annotations. The description provides only the general action and two output concepts, omitting crucial details about what the 'context' object should contain, the meaning of 'action_id', the effect of 'max_features', and the exact structure of the returned predictive covariance and leverage information. Given the tool's complexity and the absence of structured metadata, the description is inadequate for an agent to invoke it 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%, and the description fails to compensate. It mentions 'ridge' in the method name but does not explain the 'ridge' parameter, nor does it clarify the roles of 'context', 'action_id', or 'max_features'. The phrase 'observed before/after action rows' hints at the context object, but it is too vague to map to the schema, leaving all four parameters under-specified.

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 uses a specific verb 'Fit' and a specific resource 'ridge state-dependent multivariate transition-delta regression', clearly distinguishing it from sibling tools like athena_transition_predict or athena_transition_observe. It also mentions the derived outputs 'predictive covariance' and 'parameter-information leverage', making the tool's purpose unmistakable.

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 only implies usage by saying 'from observed before/after action rows', but provides no explicit guidance on when to use this tool versus alternatives like athena_transition_distribution or athena_causal_* tools. There are no exclusions, prerequisites, or mentions of situations where this model is preferred, which is especially problematic given many closely related transition/regression tools exist.

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