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civilquants

Compute Highway / Curtilage Gully with Connection BoQ

compute_gully
Read-only

Free tier. Renders the MMHW standard only — CESMM4, NRM2 and SMM7 require a paid tier. Anonymous callers welcome. Composite drainage inlet: precast gully pot with trap, ductile-iron grating, optional kerb outlet, and a short connection drain to the carrier sewer. The connection drain re-uses the bedding primitive. Four-standard rendering with component-aware sub-codes (CESMM4 K.6.x, NRM2 33.8.x, MMHW 500.7.x, SMM7 R12.3.6.x). Example params: pot_internal_diameter_mm=450 mm (300–750), pot_depth_m=0.9 m (0.45–2.5), pot_wall_thickness_mm=60 mm (50–100). Example call: {"params": {"pot_internal_diameter_mm": 450, "pot_depth_m": 0.9, "pot_wall_thickness_mm": 60}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes
standardNoMMHW
output_modeNofull_json
deliverablesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.1/5.0
Behavior4/5

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

The description discloses behavioral traits such as free tier restriction, anonymous caller acceptance, and use of sensible defaults. While annotations already indicate readOnlyHint=true, the description adds context about tiers and deliverables. 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.

Conciseness4/5

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

The description is relatively long but well-structured with front-loaded tier information and an example call. Almost every sentence adds value, but it could be slightly more concise by grouping standard-related info. Still, it earns a 4 for clarity.

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 the tool's complexity (many parameters, nested objects, output schema exists), the description covers essential aspects: tier limitations, an example call, deliverables, and component description. It does not need to explain return values due to output schema. It is nearly complete for an agent to invoke correctly, though more parameter details would help.

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 0%, so the description carries the burden. It adds meaning by explaining the composite nature of the gully and providing example parameters with ranges (e.g., pot_internal_diameter_mm 300–750). However, it does not describe all 24 parameters individually, leaving many undocumented. Baseline 3 is appropriate as it partially compensates.

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 name and title clearly indicate a tool for computing a gully with connection BoQ. The description explains it is a composite drainage inlet with specific components (gully pot, grating, kerb outlet, connection drain), and the mention of four-standard rendering with sub-codes distinguishes it from sibling tools like compute_catchpit or compute_highway_drainage_channel.

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 explicitly states that the free tier only supports MMHW, and that other standards require a paid tier. It provides an example call and mentions that omitted parameters use defaults. However, it does not explicitly compare this tool to siblings or state when to use it instead of alternatives like compute_catchpit or compute_manhole.

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
Disambiguation4/5

Most tools have distinct purposes with detailed descriptions, but the large number of closely related structures (e.g., multiple wall types, drainage inlets) could cause some confusion. Descriptions are thorough, mitigating ambiguity.

Naming Consistency4/5

The majority of tools follow a consistent `compute_<noun>` pattern. However, several administrative tools use different verbs (get, list, save, etc.), introducing mild inconsistency.

Tool Count3/5

56 tools is high but defensible given the broad civil engineering domain. The set covers many specific structures and workflows, though some tools could be merged or scoped more tightly.

Completeness4/5

The tool set covers a wide range of common civil engineering tasks (walls, foundations, drainage, pavements, highways, utilities). Minor gaps exist (e.g., no explicit bridge or tunnel tool), but the core domain is well-covered.

Resources