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

With no annotations, the description carries the full burden. It discloses the specific information returned (counts, balance, funding, cost) but does not explicitly state read-only nature, authentication requirements, or potential side effects. The lack of any warning about cost or access is a minor gap.

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 sentence that front-loads the key metrics: counts, balance, remaining runs, cost per run. Every word contributes to understanding the tool's output, with no unnecessary fluff.

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?

For a parameterless summary tool with no output schema, the description lists the main outputs and is largely adequate. However, it does not mention any caveats, return format, or typical use scenarios, which would make it fully complete. Still, the simplicity of the tool makes this sufficient.

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?

The tool has 0 parameters, so the schema is empty and schema description coverage is 100%. Per rubric, 0 params gives a baseline of 4. The description adds no parameter-level detail, but none is needed, and the listed output metrics give sufficient context for invocation.

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?

Description clearly lists specific outputs: counts by status, testing pool balance, remaining funded runs, and cost per run. This is a precise verb+resource+scope, and it distinguishes itself from sibling tools like get_agent_state or get_strategy by focusing on lab-level summary metrics.

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 explicit when-to-use or alternative guidance is provided. The description implies use when a summary of lab metrics is needed, but it does not mention when to avoid this tool or direct users to siblings, leaving some ambiguity.

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