origin_plot_table_id

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

With no annotations, the description should disclose behavioral traits. It only states the basic action (create graph) without revealing effects on data, error conditions, or any side effects. The behavioral context is insufficient.

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 concise single sentence, but it achieves conciseness at the expense of substance. It could be front-loaded with key parameter explanation without exceeding a few sentences.

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 20 parameters, an output schema, and a complex task, the description is too minimal. It fails to explain how the tool works, what the output schema indicates, or how parameters interact. The description is incomplete for effective 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 description coverage is 0%, yet the description adds no meaning to any of the 20 parameters. It does not explain what 'plot_type_id' or 'template' represent, nor optional parameters like 'selected_cols' or 'graph_name'. The description adds no value beyond the schema.

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 clearly states the tool creates a graph from table data using a Plot Type ID and template, but it does not differentiate from sibling plotting tools like origin_plot or origin_plot_line, which also create graphs from table data.

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 versus alternatives (e.g., origin_plot_auto, origin_plot_line). No prerequisites, use cases, or exclusion criteria are provided.

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