compute_gully

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 ...

SERVERCivilquants SOURCEhttps://api.civilquants.com/mcp
Low RISK CLASS
Category Read
Parameters 41 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-civilquants-civilquants/compute-gully.md

What compute_gully does on Civilquants

AI agents call compute_gully to retrieve information from Civilquants without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
params object Yes
standard string
output_mode string
deliverables object

Parameters from the server's own tool schema.

Why compute_gully is rated Low

This tool is a parametric estimating/rendering engine that computes and outputs Bills of Quantities based on input parameters. It performs a read/query-style computation — generating structured cost estimate data — with no writes, deletions, financial transactions, or code execution. It is essentially a calculation and data retrieval tool.

From the tool's definition Renders the MMHW standard only... 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

Risk signalsHigh parameter count (25 properties)

Questions about compute_gully

What does the compute_gully tool do? +

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). It is categorised as a Read tool in the Civilquants MCP Server, which means it retrieves data without modifying state.

What parameters does compute_gully accept? +

compute_gully accepts 4 parameters: params, standard, output_mode, deliverables. Required: params. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on compute_gully? +

Register the Civilquants MCP server in PolicyLayer and add a rule for compute_gully: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Civilquants. Nothing to install.

What risk level is compute_gully? +

compute_gully is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit compute_gully? +

Yes. Add a rate_limit block to the compute_gully rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block compute_gully completely? +

Set action: deny in the PolicyLayer policy for compute_gully. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides compute_gully? +

compute_gully is provided by the Civilquants MCP server (https://api.civilquants.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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