get_co_scientist_benchmark_tasks

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

With no annotations provided, the description carries the behavioral burden. It indicates a read-only retrieval ('Get') of a 'built-in' and 'fixed' task set, implying no mutation or side effects. This is sufficient for a zero-parameter getter, though it does not describe the return format.

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 definition is compact and well-structured: one clear purpose sentence followed by a focused AUTOMATIC TRIGGERS bullet list. It is front-loaded and every line contributes decision-relevant information.

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 simple zero-parameter getter with no output schema, the description adequately covers what the tool returns and when to call it. It could explicitly state the return shape, but the tool's simplicity makes this a minor omission.

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 input schema has zero properties and 100% coverage, so there are no parameter semantics to document. The baseline for a 0-parameter tool is 4, and the description adds no unnecessary argument guidance.

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 opens with a specific verb and resource: 'Get the built-in Phase 9 Co-Scientist benchmark task set.' This clearly identifies what the tool does and distinguishes it from sibling workflow-oriented tools like compare_co_scientist_workflows and evaluate_co_scientist_run.

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 AUTOMATIC TRIGGERS section gives explicit call conditions: setting up benchmarks, needing fixed research tasks for repeatable comparison, and deciding whether Co-Scientist should be the default. It does not provide when-not-to-use guidance or name alternatives, so it falls just short of the top score.

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