llmeval_add_benchmarks

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It only says 'Add evaluation benchmarks,' with no mention of side effects, what gets modified, authentication needs, or return behavior. An agent cannot predict the impact of invoking this tool.

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 short, but this is under-specification rather than deliberate concision. It consists of one vague phrase with no structured information, no front-loaded context, and no sentence that explains what the tool actually does beyond repeating the name's intent.

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 absence of annotations and output schema, plus only partial schema coverage, the description needed to explain what benchmarks are, why directory and api_key are required, and what a successful call accomplishes. It does none of this, leaving the tool essentially unusable for an agent selecting among hundreds of siblings.

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 description does not mention or explain either parameter. The schema documents 'directory' as 'Project directory,' but 'api_key' is completely undocumented, and the description adds no meaning to it. With only 50% schema coverage, the description should compensate, but it provides zero parameter-level context.

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 a verb ('add') and resource ('evaluation benchmarks'), so it is not a tautology. However, 'evaluation benchmarks' is ambiguous: it doesn't clarify whether this adds datasets, test suites, configs, or reports, nor does it distinguish the tool from llmeval_setup_framework or llmeval_generate_reports. It is a vague purpose rather than a specific, differentiated one.

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?

There is no guidance on when to use this tool, what prerequisites exist, or which alternatives might be more appropriate. The sibling list contains closely related llmeval tools, yet no distinction or selection criteria are provided.

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