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 does disclose that this is a mutating operation ('update... priors') affecting the internal world model, which is meaningful context beyond the schema. However, it does not disclose side effects (whether the update is incremental, persistent, or reversible), any prerequisites, or what happens to existing priors — significant gaps for a tool with zero annotation support.

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 with the core action front-loaded ('Online world model learning') followed by the specific operation. Every word earns its place, and there is no filler. It is appropriately sized for a one-parameter tool, though the terseness borders on under-specification rather than genuine conciseness.

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-value documentation is not needed. However, the description is incomplete for a tool of this complexity: it does not explain what constitutes a valid transition, when the tool should be invoked relative to execution-trace collection, or how the learned priors influence sibling tools like predict_world_state. With no annotations and a 0% schema coverage parameter, the description leaves critical operational details to inference.

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 schema only states 'transitions' is an array of free-form objects (additionalProperties: true), so the description must compensate. It adds some meaning by linking the parameter to 'empirical execution traces', but it never specifies the expected structure of a transition object (e.g., state, action, next_state fields), leaving the agent to guess what keys are valid. The description provides only an oblique hint rather than adequate parameter documentation.

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 names a specific verb+resource pair ('update state transition priors') and the data source ('empirical execution traces'), which clearly states what the tool does. It is distinguishable from siblings like predict_world_state (predict vs. update) and learn_from_mistake (trace-driven model learning vs. mistake-driven learning), though the distinction is implicit rather than stated. The heavy reliance on domain jargon ('state transition priors') slightly reduces clarity for a general agent.

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?

No guidance is given on when to use this tool versus alternatives such as cognitive.predict_world_state, cognitive.learn_from_mistake, or cognitive.record_experience. The 'online' qualifier hints at usage during execution traces, but there is no explicit when-to-use, when-not-to-use, or prerequisite information. An agent has to infer the appropriate invocation context entirely from the tool name and sibling list.

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