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FabTally 3D-Print Slicer, Quote & DFM

by com.fabtally

Cost breakdown (material vs machine vs setup)

cost_breakdown

FREE. Break a quote into material vs machine-time vs setup vs margin, in your currency and filament price (bring your own pricing). 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. Fair-use limited (one slice).

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.
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.
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

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It discloses fair-use limitation ('one slice'), local file upload workaround, and zip behavior (first printable model used). It also implies server-side fetching by listing URL formats, though it doesn't explicitly describe network requests or side effects. Good but not exhaustive.

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 sized, front-loaded with purpose, then link handling, then fair-use limitation. Each sentence adds meaningful info, though the list of link types is also present in the model_url parameter description, making it slightly redundant. Still well-structured.

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 15 parameters and no output schema, the description covers the primary input handling (model URL formats, local file workaround) and key limitation (fair-use). It explains the breakdown components in the purpose sentence, making the return value clear. Adequate for the tool's complexity.

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 covers 100% of parameters with descriptions, so baseline is 3. The description adds overall pricing philosophy ('bring your own pricing') but does not add semantics beyond the schema, especially for the many BYO pricing parameters.

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?

Description clearly states the tool breaks a quote into material, machine-time, setup, and margin components using user-specified pricing. This specific verb+resource distinguishes it from siblings like get_print_quote, though it doesn't explicitly name them.

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

Usage Guidelines3/5

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

The description implies usage by detailing acceptable model link formats and the need for user-provided pricing, but it does not explicitly state when to use this tool versus alternatives or provide exclusion criteria. The context is clear but lacks explicit guidance.

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.

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