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summarize_csv

Group CSV data by columns and apply aggregations like sum, mean, count, or median to summarize datasets.

Instructions

Group and aggregate with a fixed set of functions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
optionsNo
group_byNo
aggregationsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description is too brief to reveal any traits: it does not state whether the tool is read-only, modifies data, requires permissions, or has performance implications. With zero annotations, this is a critical gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While the description is short (one sentence), it is not effectively front-loaded and omits critical details such as the resource (CSV file) and the available aggregation functions. Every word should earn its place, but here the brevity sacrifices clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema (per context), but the description does not mention what the tool returns (e.g., aggregated table). Given the complexity of parameters (4, with nested options) and the richness of sibling tools, the description is insufficient for an agent to understand the tool's full behavior and output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning no parameters have descriptions in the schema. The description only vaguely hints at grouping and aggregation but does not clarify the role of 'path', 'options', or 'group_by'. The 'aggregations' structure is not explained in the description, leaving the agent to infer from the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Group and aggregate with a fixed set of functions' indicates a summarizing operation, but it does not mention that the tool operates on CSV files, which is essential given sibling tools like read_csv and query_csv. The verb 'summarize' is implied by the name, but the description lacks specificity about the resource (CSV data) and the exact nature of aggregation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus siblings like 'query_csv' or 'group_csv' (if existed). The description does not mention prerequisites, ideal scenarios, or situations where other tools are preferable. This leaves the agent without decision support for tool selection.

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

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