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

No annotations are provided, so the description carries the burden. It clearly states that cycles are never canonical experiments or findings, which is valuable behavioral context. However, it does not mention whether the returned data is historical or real-time, or any specific behavioral traits like pruning of old cycles, which would be useful.

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 concise, at two sentences, with the core action and boundary condition front-loaded. No filler words, and every sentence adds value.

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 list tool with one parameter and no output schema, the description covers the main aspects: what it reads and what it excludes. It lacks detail on the output structure, but since no output schema exists, a description could mention the return format; however, for a list of cycles, the structure is likely straightforward, so the gap is minor.

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 single parameter 'limit' has 0% schema description coverage, with only min/max in the schema. The description does not explain the 'limit' semantics, but with only one parameter and a restrictive name, the meaning is obvious. The description adds slightly by implying a list of cycles, but could explicitly state the limit's purpose (e.g., pagination).

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 specifies a clear verb ('Read') and resource ('connected autonomous research-candidate cycles') and explicitly distinguishes them from canonical experiments, findings, reproduction, or physical measurements. It clearly differentiates from siblings like simulation_runs and science_alerts, making the tool's purpose unmistakable.

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?

Though it lacks explicit comparisons to sibling tools, the description clarifies that cycles are operational proposals, implying they are not for experimental results. This provides enough context for an agent to select it for operational proposals, while not explicitly excluding alternatives. Slight gap for not naming siblings directly.

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