athena_diffusion_observe

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

With no annotations, the description carries the full disclosure burden. It explicitly reveals a side effect beyond the 'observe' name: updating the diffusion coefficient. However, it does not detail reversibility, authorization needs, or what else might be affected by the update.

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?

A single sentence with no filler or repetition. It is front-loaded with the action and object and imparts the essential purpose without extraneous words.

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 six parameters, no annotations, no output schema, and a complex domain, the one-sentence description is underspecified. It omits parameter semantics, return behavior, and practical usage conditions, making it difficult to invoke reliably.

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 coverage is 0%, and the description only alludes to source_scale, target_scale, and transfer_utility through 'two scales' and 'utility'. It leaves actor, evidence_weight, and causal_confidence entirely unexplained, so it does not compensate for the missing schema descriptions.

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 specific verbs 'Record' and 'update' with a clearly identified resource: 'pheromone transfer between two scales' and 'a shrinkage-learned diffusion coefficient'. This uniquely distinguishes it from sibling observation tools like athena_bandit_observe or athena_transition_observe.

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 guidance on when to use this tool versus alternatives such as athena_diffusion_matrix or athena_pheromone_reinforce. It lacks explicit context, prerequisites, or exclusions, leaving the agent to infer usage solely from the action described.

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