plot_line_chart

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

No annotations provided. The description says 'generate a line plot' but does not specify side effects (read-only vs mutation), output format (e.g., image path, base64, HTML), or whether it modifies state. The return is only described as 'dict' with no further detail, which is insufficient for an agent to predict 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 relatively short but includes a redundant PARAMETERS section that mostly repeats the input schema. The initial two sentences convey core purpose. Could be more structured (e.g., front-load purpose, then parameter details) and remove repetition.

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?

No output schema exists, so the description should explain the return value in detail (e.g., keys of the dict, data format). It only says 'dict' with no elaboration. Additionally, the tool has 3 required parameters but the description doesn't clarify valid column types or format constraints, making it incomplete for robust agent usage.

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 has no descriptions (0% coverage), so the description must compensate. It states table_name is the source table, labels are for x-axis (as string), columns for y-axis (as list of strings). However, the description of labels is vague ('Specifies the labels to be used') and the note about 'Columns mentioned in labels' is confusing. It adds basic meaning but not precise enough to fully disambiguate parameter roles.

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 it generates a line plot using labels and columns, with x-axis from labels and y-axis from columns. This distinguishes it from sibling pie, polar, and radar chart tools. However, the phrase 'Columns mentioned in labels' is confusing, reducing clarity slightly.

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 on when to use this tool vs alternatives like plot_pie_chart. No prerequisites or context (e.g., table must exist, labels must be a column). The description leaves the agent to infer usage without any recommendations.

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