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Tax Regulations

by io.github.pipeworx-io

Tax Search

tax_search
Read-onlyIdempotent

Keyword search across federal tax regulations — US Treasury / IRS regulations in 26 CFR. Answers "what tax regulations cover X", "the IRS regulation / Treasury Regulation about X", "find the federal tax rule for X". Great for topics: charitable contribution deduction, gross income, business expense deduction, depreciation and MACRS, capital gains and losses, section 501(c)(3) exempt organizations, S corporations, partnerships, like-kind exchanges, employment tax, estate and gift tax, foreign tax credit, retirement plans. Returns matching Treasury Regulations with citation (26 CFR / Treas. Reg.), heading, excerpt, and source URL. Example: tax_search({ query: "charitable contribution deduction" }); tax_search({ query: "depreciation", limit: 15 }). Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return, 1-20 (default 10).
queryYesFederal-tax-regulation topic or phrase, e.g. "charitable contribution deduction", "gross income", "depreciation", "exempt organizations", "capital gains".

TDQS

A4.2/5.0
Behavior4/5

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

With annotations already indicating read-only and idempotent behavior, the description adds value by disclosing return format (citation, heading, excerpt, URL) and that it is keyless. It provides useful behavioral context beyond the annotations without contradicting them.

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 moderately long but front-loaded with the core purpose. The topic list and examples earn their place by showing scope and usage, though it could be trimmed slightly without losing value.

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?

Despite having no output schema, the description covers return fields, use cases, and authentication needs, making it complete for a simple search tool. It effectively compensates for the lack of structured output information.

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 coverage is 100%, so the description's examples (e.g., query phrases, limit usage) are helpful but mostly reiterate what the schema already documents. It adds minimal extra meaning beyond demonstrating call syntax, so a baseline of 3 is appropriate.

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 it performs keyword search across federal tax regulations in 26 CFR, with a specific verb and resource. It distinguishes itself by emphasizing search on topics, implicitly contrasting with sibling tax_regulation which likely handles lookups by citation.

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?

Provides explicit example questions it answers ('what tax regulations cover X', etc.) and lists suitable topics. It gives clear context for when to use but does not explicitly mention alternatives or exclusions, so it stops short of a 5.

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

A3.5/5.0
Disambiguation2/5

Many tools overlap in purpose: ask_pipeworx and ask_pipeworx_beta are identical, while ask_pipeworx_grounded, deep_research, discover_tools, and suggest_questions all serve as query/entry-point tools. The two tax-specific tools are distinct, but the sheer number of generic data-access tools makes it difficult for an agent to select the right one.

Naming Consistency2/5

Naming is a mix of snake_case (ask_pipeworx, tax_search), camelCase (ask_pipeworx_beta, compare_entities, discover_tools), and inconsistent verb styles (resolve_entity vs entity_profile vs scan_competitor_ai_presence). No clear pattern is discernible.

Tool Count1/5

The server is named 'Tax Regulations' but only 2 of 33 tools are tax-related. The other 31 tools are unrelated Pipeworx data-access, memory, subscription, and Polymarket tools, making the count wildly excessive and mismatched with the apparent purpose.

Completeness3/5

For the tax regulation domain, tax_search and tax_regulation cover keyword discovery and full-text retrieval, which is a functional core. However, the set lacks any other tax-specific operations (e.g., updates, comparisons, planning), and the majority of the tool surface is irrelevant to the stated server purpose, leaving notable gaps for an agent expecting a coherent tax toolset.

Resources