generate_chart

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does not mention whether the operation is read-only, what output format is returned (e.g., image, file, URL), or whether it depends on previously stored benchmark results. The description is too sparse to inform an agent about side effects or return behavior.

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 concise sentence with no waste or redundant phrasing. It is front-loaded with the main action, although it is so brief that it provides minimal context, which is penalized in other dimensions.

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 output schema and no annotations, the description should explain what the chart represents, how the result is returned, and any prerequisites or relationships with sibling tools. None of this is present, leaving significant gaps for an agent trying to invoke the tool correctly.

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?

Schema description coverage is 100%, so the schema already documents both parameters (algorithmId and testCaseId). The description does not add any semantic detail beyond what the schema provides, but since the schema fully covers parameters, the baseline of 3 is appropriate.

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 specific verb ('Generate') and resource ('performance chart') for benchmark results, making the core action clear. It does not explicitly differentiate itself from siblings like get_results or query_performance, but the notion of a 'chart' implies visualization, which is distinct enough from raw result retrieval.

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 versus siblings such as run_benchmark, get_results, or query_performance. The description only says what it does, not when it is appropriate or what prerequisites exist (e.g., benchmarks must already be run).

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