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DeltaBot Utility Suite

changelog_generator

Structured changelog from supplied factual changes. Costs $0.15 Base USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are present, so the description must carry the full burden of behavioral transparency. It does disclose the cost of $0.15 Base USDC, which is useful, but it does not mention side effects, required permissions, output format, or whether the input persists. The behavioral profile is largely unknown.

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 short and front-loaded, with two sentences that each carry information: the core function and the cost. There is no redundancy or fluff. The main deficit is under-specification rather than poor conciseness.

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 one completely undocumented parameter, no output schema, no annotations, and many sibling report generators, the description is not complete enough for reliable invocation. It gives no input format, no expected output, and no selection context. Only the pricing detail adds a clue beyond the bare purpose.

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?

With schema description coverage at 0%, the description needed to thoroughly explain the 'input' parameter. It only says the input should contain 'factual changes,' which gives a weak semantic hint but no structure, required fields, formats, or examples. An agent cannot reliably construct a valid input object from this information.

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 tool's purpose: producing a structured changelog from supplied factual changes. It is distinct enough from sibling tools by its changelog-specific noun, though it lacks an explicit verb and does not explicitly contrast itself with related generators.

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 given about when to use this tool versus alternatives such as code_diff_summary or release_dependency_risk. The phrase 'supplied factual changes' suggests a precondition, but there are no explicit use cases, exclusions, or references to sibling tools.

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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