athena_collective_allocate

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 adds a useful behavioral detail: allocation is driven by demand × capability fit × available capacity, which clarifies the decision logic. However, it does not disclose whether the tool mutates state, what it returns, or any side effects, leaving important behavioral aspects ambiguous.

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 one clear, front-loaded sentence with no filler. It is efficient but perhaps too terse for a tool with multiple parameters and no annotations, as it omits essential details. Still, it earns a high mark for brevity and directness.

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 the tool's complexity (5 params, no output schema, no annotations), the description is incomplete. It does not explain what the tool returns, how to interpret the output, the effect of alpha/beta, or constraints like max_assignments_per_worker. This is a significant gap for a tool that likely produces a nontrivial allocation result.

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 does not explain any of the five parameters (tasks, workers, beta, alpha, max_assignments_per_worker). The formula mentioned aligns conceptually with task/worker properties but does not clarify parameter roles or types. This fails to compensate for the schema's lack of 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 clearly states the tool's purpose: allocate tasks using a specific formula (demand × capability fit × available capacity). It uses a specific verb ('allocate') and resource ('tasks'), and distinguishes itself from equal participation, but it does not explicitly name or differentiate from sibling tools like athena_collective_plan.

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 implies a use case (when tasks need allocation based on fit rather than equality) but provides no explicit guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It does not mention any context or scenarios where this tool is preferred over others.

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