llmeval_generate_reports

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

There are no annotations to carry behavioral weight, yet the description is nearly tautological. It does not disclose side effects, what an evaluation report contains, whether the operation is read-only, or how the Pro feature restriction manifests at runtime.

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 text is minimal and front-loaded, with no filler words. However, the brevity crosses into under-specification; it reads more like a tagline than a functional description, so it does not fully earn its place for agent decision-making.

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?

With no annotations, no output schema, and a 50% schema description coverage, the description leaves the agent without a clear picture of prerequisites, output format, or side effects. A one-line summary is inadequate for a tool with an undocumented api_key parameter and no return information.

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 schema description covers only the 'directory' parameter (50% coverage), and the description adds no information about either parameter. 'api_key' is completely undocumented, and the description does not indicate why it is needed or how it relates to evaluation report generation.

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 states the action 'Generate' and the target resource 'evaluation reports', which is a concrete verb+resource pairing. It is clearly distinguishable from sibling tools like llmeval_setup_framework and llmeval_add_benchmarks, though it does not explicitly name alternatives.

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 guidance is given on when to use this tool versus the other llmeval_* tools or when generation would be appropriate. The '(Pro feature)' hint implies an entitlement requirement, but no workflow context is provided.

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