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steel-tools

RFQ Workbook Generator

steel_rfq_generate

Generate a vendor-ready Request for Quotation (.xlsx) from structured takeoff line items — grouped by material, with vendor pricing columns, totals and standard terms. You pass parsed line items and a company name; returns a download link that expires within ~48 hours. Nothing you submit is stored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termsNoOverride the eight default terms; omit for the standard set
line_itemsYesParsed takeoff line items — the calling agent reads the estimate
date_issuedNoFree-form issue date; a blank line is used if omitted
company_nameYesBuyer company on the RFQ header and terms — required
nesting_rowsNoOptional fabricator-facing nesting/drop reference rows
project_nameYesProject name for the header and filename
company_locationNoCity, state under the company name, e.g. "Denver, CO"
project_locationNo

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that a download link expires within ~48 hours and that nothing submitted is stored, which is valuable behavioral and privacy context. This goes beyond the schema's capabilities.

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, front-loaded with the primary action, and efficiently packs in output details, input requirements, expiry behavior, and privacy. No wasted words.

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

Completeness4/5

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

The description covers the essential workflow: input (parsed line items, company name), output (download link with expiry), and content (grouping, pricing columns, terms). Since there is no output schema, this return-value description is important and it is provided. The schema handles parameter details, so the combination is quite complete.

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 high at 88%, so the baseline is 3. The description adds high-level pointers to line items and company name but doesn't explain individual parameters beyond what the schema already documents. It does not compensate for the small unexplained gap, but the schema carries most of the weight.

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 begins with 'Generate a vendor-ready Request for Quotation (.xlsx)' – a specific verb, resource, and format. It further clarifies the output structure (grouped by material, vendor pricing columns, totals, standard terms) and clearly distinguishes from all sibling tools, none of which generate RFQs.

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?

It states 'You pass parsed line items and a company name', providing clear input context. It doesn't explicitly name alternatives, but no sibling tool performs a similar function, so the guidance is adequate. The mention of 'standard terms' also implies a default use case.

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

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: lookups (bolt pretension, gauge, pipe, shape), weight calcs (plate, section, shape, takeoff), area calc, reference, MTR screening, and PDF/document generators (NCR, RFI, RFQ, markup). Even the three weight tools are explicitly differentiated by input type, and the descriptions cross-reference each other to avoid confusion.

Naming Consistency4/5

All tool names share the 'steel_' prefix and follow a 'resource_property/action' pattern (e.g., steel_plate_weight, steel_rfi_generate). However, the suffix is not uniformly a verb or noun: some end with a noun (steel_coating_area, steel_pipe_schedule) and others with a verb (steel_mtr_check, steel_ncr_generate), creating minor inconsistency in the naming convention.

Tool Count5/5

14 tools is well within the ideal 3-15 range for a specialized domain. Each tool covers a distinct need for structural steel estimating and documentation, and the count feels comprehensive without being bloated or redundant.

Completeness5/5

The tool set provides thorough coverage of the structural steel domain: reference lookups, weight/size calculations, coating area, MTR checking, takeoff rollups, and formal document generation (NCR, RFI, RFQ) plus PDF markup. There are no obvious missing operations for a steel estimating/quality document workflow, and the tools together enable a complete estimating and documentation process.

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