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Vaquill-AI/vaquill-mcp

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by Vaquill-AI

Get Us Statute Section Text

get_us_statute_section_text
Read-only

Retrieve the full official text of a US statute, regulation, or rule section by ID. Get styled HTML and plain text to quote, draft, or analyze the actual statutory language.

Instructions

The full text of a US statute, regulation or rule section by act_id. Returns styled HTML (with cross-references and paragraph numbering as officially published) and plain text. Use when you need the actual statutory language to quote, draft against, or analyze rather than just cite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asOfNoReturn the section's text as it stood on this date (`YYYY-MM-DD`) instead of today's. Same cost. **This is a reconstruction, not an archive.** The corpus holds one current text per citation; an earlier one is rebuilt from the before-side of the first change we OBSERVED after your date. The `asOf` block on the response says which version you got (`source`), what it rests on (`basisChangeId`), how far back the evidence reaches (`observedFrom`), and whether the answer is bounded by when capture began rather than by the law (`isBounded`). Read `isBounded` before citing the text. A section that did not exist yet returns `available: false` with `asOf.existed: false`, which is a real answer and is charged. A section we know changed but cannot rebuild returns `source: "unavailable"` and IS refunded, because you asked for a historical text and did not get one.
act_idYesSection identifier, e.g. `USC_T42_C21_S1983` (Title 42, Chapter 21, Section 1983, written 42 U.S.C. 1983). Take it from a search result rather than assembling it: the title and section are derivable from a citation but the CHAPTER is not, so hand-built ids usually 404.
formatNoWhich representations to return. A long section carries the same text twice by default, so `plain` or `html` roughly halves the payload. Cost is unchanged: the fetch is the same either way. `content` omits `html` and `plain` entirely and returns only the split fields (`content`, `sourceCredit`, `notes`). Use it when you want the operative text and nothing else: on `17 U.S.C. § 107` that is about 1 KB instead of 30 KB over the wire, for the same price. Only United States Code sections can be split, so for any other corpus `content` returns no text at all -- check `content` for null and fall back to `plain` if you are not sure which corpus you have.both
structuredNoWhen true, also return `markdown` and a `subsections` tree parsed from the text for pincite addressing. Same cost.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.3/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, so safety is already covered. The description adds behavioral detail about return representations—styled HTML with cross-references and paragraph numbering, plus plain text—which goes beyond the annotation. It does not contradict annotations.

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

Conciseness5/5

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

The description is two sentences with no filler. It front-loads the core function, then adds output details and a clear usage directive. Every sentence earns its place.

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

Completeness5/5

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

Given the rich parameter schema, readOnly annotation, and presence of an output schema, the description is complete enough for an agent to select and invoke the tool correctly. Complex behaviors like asOf reconstruction are documented in the schema, so the main description does not need to repeat them.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already thoroughly documents all parameters including asOf, format, and structured. The description only mentions act_id and adds no extra parameter-level meaning beyond what the schema provides, warranting the baseline score.

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

Purpose5/5

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

The description clearly states the tool retrieves the full text of a US statute, regulation, or rule section by act_id, and specifies the output formats: styled HTML and plain text. It also differentiates the tool from citation-only or metadata-focused siblings by emphasizing actual statutory language for quoting, drafting, or analysis.

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

Usage Guidelines4/5

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

The description gives an explicit use case: 'Use when you need the actual statutory language to quote, draft against, or analyze rather than just cite.' This provides clear context for when to choose this tool, though it does not enumerate exclusions or name alternative 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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