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FabTally 3D-Print Slicer, Quote & DFM

Get a 3D printing price quote

get_print_quote

FREE. Slicer-accurate FDM price quote from a real slice (not an estimate): print time, filament grams, and a priced quote (material + machine time + setup, with automatic volume discounts). Paste a link: Thingiverse/Printables/MakerWorld model pages, a GitHub blob, Google Drive or Dropbox share link, a direct .stl/.3mf/.obj/.ply/.step URL, or a .zip (first printable model inside is used). Local file? Upload once at https://fabtally.com/upload and paste that URL. Optionally bring your own pricing (all optional): currency, machine_rate_per_hour, margin, setup_fee, minimum_price, material_cost_per_kg, markup_percent — the response echoes a pricing_basis (default vs custom). Free for personal/interactive use (fair-use limits); high volume / agents use credits or x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marginNoBYO pricing: fractional margin, 0.3 = 30%.
printerNoPrinter id from list_printers (elegoo-neptune4-max, bambu-a1, bambu-a1-mini, bambu-p1s, bambu-x1c, prusa-mk4, prusa-mini, ender3-v3, creality-k1, creality-k1-max, voron-24-350, anycubic-kobra2). Default elegoo-neptune4-max.
qualityNoQuality preset: draft 0.28mm | standard 0.20mm | fine 0.12mm layer height.
currencyNoBYO pricing: currency code (USD, EUR, ...). Default USD.
filenameNoFile name incl. extension, e.g. 'bracket.stl'. Required with model_base64.
materialNoFilament/material id (pla, pla-cf, petg, petg-cf, abs, abs-cf, asa, asa-cf, nylon, pc, pet, tpu). Default pla.
quantityNoNumber of parts (1-10000). Volume discounts apply. Default 1.
supportsNoSupport generation style.
model_urlNoPREFERRED. Public URL to the 3D model. Paste a link: Thingiverse/Printables/MakerWorld model pages, a GitHub blob, Google Drive or Dropbox share link, a direct .stl/.3mf/.obj/.ply/.step URL, or a .zip (first printable model inside is used). Local file? Upload once at https://fabtally.com/upload and paste that URL. The server fetches and (if a zip) unpacks it.
setup_feeNoBYO pricing: flat per-job setup fee.
layer_heightNoExplicit layer height mm (0.04-0.6); overrides `quality`.
model_base64NoBase64 model bytes — small-file fallback only (roughly <50KB). MCP clients (Claude/ChatGPT Desktop) truncate large inline tool arguments, so a real STL can silently arrive corrupted. For anything bigger use model_url (upload at https://fabtally.com/upload first). Provide `filename` too.
minimum_priceNoBYO pricing: per-unit price floor.
infill_percentNoSparse infill density percent (0-100).
markup_percentNoBYO pricing: extra % markup on top of margin.
material_cost_per_kgNoBYO pricing: override material $/kg.
machine_rate_per_hourNoBYO pricing: machine time cost/hour.

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations, the description carries full burden and does excellently: discloses server-side fetching/unzipping, first printable model in a zip, base64 truncation risk, fair-use limits, credit/x402 for high volume, and response echoing pricing_basis. These are meaningful behavioral details beyond what the schema provides.

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 a single dense paragraph, but every sentence earns its place: output summary, input source options, BYO pricing, and usage limits. It is front-loaded with 'FREE' and the core value proposition. Slightly long but not wasteful for a 17-parameter tool.

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?

Given 17 parameters, no output schema, and no annotations, the description covers the essential behavioral context: input methods, pricing customization, fair-use limits, and the fact that output includes print time, filament grams, and priced quote. It could mention error cases or defaults, but schema covers parameter defaults, making this reasonably complete.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by grouping BYO pricing parameters as optional, clarifying model_url as preferred, warning about model_base64 size limits, and explaining that pricing_basis reflects default vs custom. This goes beyond the individual schema descriptions.

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 opens with a specific verb+resource: 'Slicer-accurate FDM price quote from a real slice (not an estimate): print time, filament grams, and a priced quote.' This clearly distinguishes it from sibling tools like slice_model or cost_breakdown by emphasizing real slicing and automatic volume discounts.

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 clear context on how to use the tool: paste a link from supported sources, upload local files first, and optionally supply BYO pricing parameters. It implicitly distinguishes from estimate-based approaches ('not an estimate') but does not explicitly name alternative tools or state when not to use this tool.

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

A3.9/5.0
Disambiguation2/5

Four tools—analyze_model, analyze_3d_model, check_printability, and validate_model—perform overlapping geometry analysis with printability verdicts, making it hard to tell which to call. The detailed descriptions help, but the boundaries are subtle (general vs printing-specific, full vs fast), and an agent could easily pick the wrong one.

Naming Consistency4/5

Most names follow a clear verb_noun snake_case pattern (e.g., list_printers, slice_model, get_print_quote). Minor deviations like analyze_3d_model, cost_breakdown, scale_advisor, and whatif_infill are still readable and do not break the overall consistency.

Tool Count4/5

With 14 tools, the count is well within the 3–15 range for a specialist service and each tool addresses a distinct stage of the quoting/DFM workflow. The count feels slightly inflated by the near-duplicate analysis cluster, but it is not excessive for the domain.

Completeness4/5

The tool surface covers the full lifecycle: model analysis, printability checks, slicing, quoting, cost breakdown, printer comparison, orientation optimization, material/settings recommendations, and scaling. Minor gaps exist (e.g., no batch processing or material-specific parameter tuning), but agents can compose the existing tools to achieve most workflows.