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Baneado98

muni-dev-cost

get_total_dev_cost

Compute the full municipal development cost for a US jurisdiction, aggregating all impact fees (water, sewer, transportation, parks, drainage, public safety). Provides grand total USD and category breakdown.

Instructions

Get the GRAND TOTAL municipal development cost for a US jurisdiction across EVERY fee category we hold — not just water+sewer, but also transportation/street, parks, drainage/stormwater, fire, police and library impact fees where the city levies them. Returns one grand-total USD figure plus a roll-up by bucket (Water+Sewer / Transportation / Parks / Drainage / Public Safety / Other Public) and each category's share. This is the number a developer actually underwrites: in cities like Phoenix or Fresno the non-utility impact fees rival the water+sewer bill, so water-only numbers badly understate the cost to build. Honest about $0 buckets (a city that doesn't assess a parks/transport impact fee shows $0, meaning 'not assessed', not 'missing'). Pass 'jurisdiction' or 'address', optionally 'dev_type' and 'meter_size'. PREMIUM: pay per call with x402 (USDC on Base) or set a prepaid key (MUNI_DEV_COST_KEY).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jurisdictionNo'City, ST' or city name. Provide this OR address.
addressNoUS street address. Provide this OR jurisdiction.
dev_typeNoDevelopment type (default single_family).
meter_sizeNoWater meter size (default 5/8").
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses that $0 buckets mean 'not assessed', not missing. Mentions payment requirements. Does not cover all behavioral aspects but sufficient for a read-only query tool.

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?

Description is relatively long but every sentence provides useful information. Front-loaded with main purpose. Could be slightly more concise but overall efficient.

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

Completeness5/5

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

No output schema, so description explains return value in detail: grand-total USD figure, roll-up by bucket, category shares. Covers parameters, usage context, and edge cases (zero buckets). Complete for a query tool.

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%, but description adds value by explaining jurisdiction/address are alternatives, dev_type and meter_size have defaults, and provides real-world examples. This clarifies parameter usage beyond schema.

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?

Description clearly states it gets the grand total municipal development cost across all fee categories, with roll-up by bucket. Distinguishes from related tools like get_water_sewer_detail that only cover water/sewer fees.

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?

Indicates when to use (get total cost across all categories) and warns that water-only numbers understate cost. Mentions premium payment model. No explicit 'when not to use' but context is clear.

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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