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DeltaBot Utility Suite

csv_to_json

CSV-to-JSON conversion. Costs $0.10 Base USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose a non-obvious $0.10 Base USDC cost and states a transformation behavior, which is useful context. However, it does not mention input transport, validation behavior, error cases, or whether the JSON is returned directly or stored.

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

Conciseness4/5

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

The description is very concise and front-loaded, with the cost note adding non-redundant information. It is structurally clean, though it sacrifices operational detail for brevity.

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?

For a tool with no output schema and a fully unstructured required input object, this description is incomplete. An agent cannot reliably construct the `input` value or understand the expected return shape. The cost disclosure is the only added contextual signal beyond the name.

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?

The input schema is an opaque object with zero property documentation, and the description does not explain what fields or format the `input` parameter should use. The only hint is that CSV data is somehow converted, leaving the agent to guess whether input is raw CSV text, a file path, a URL, or nested key-value pairs.

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

Purpose4/5

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

The description clearly identifies the operation as CSV-to-JSON conversion, which is a specific transformation with an explicit action and resource. It does not explicitly differentiate itself from csv_profile, but the conversion wording is enough to convey the core purpose.

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?

There is no guidance about when to choose this tool over siblings like csv_profile or the other report generators. The only usage signal is the implicit meaning of 'conversion,' and there are no prerequisites, alternatives, or exclusions stated.

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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TDQS

C2.5/5.0
Disambiguation3/5

Most tools are distinguishable by their input source (HTTPS probe, JSON snapshots, OpenAPI, ABI, CSV, etc.), but several report-style tools overlap in purpose, such as changelog_generator vs. release_dependency_risk and csv_profile vs. data_quality_profile. Descriptions help, but an agent could easily hesitate between similarly named change/health/report tools.

Naming Consistency4/5

All names are lowercase snake_case and generally follow a <domain>_<artifact> pattern, which is predictable and readable. The suffixes vary considerably -- report, summary, digest, audit, health, profile, generator, validator, risk, radar -- so it is not a strict verb_noun convention, but the style is consistent enough.

Tool Count3/5

25 tools is at the upper edge of the borderline-heavy range. The suite spans web, data, repository, security, and wallet domains, so each tool has a plausible place, but the sheer number makes navigation heavier than a typical cohesive toolset.

Completeness3/5

The suite provides broad coverage for reporting, validation, and change detection, but there are notable gaps such as generic raw data fetching, a generic diff utility, and obvious transforms beyond CSV-to-JSON. For a broadly scoped utility suite, coverage is partial but not severely incomplete.

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