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Cook County / Chicago Property Data (free tier, no wallet needed)

Cook County parcel record (25 free a day)

get_cook_county_parcel
Read-onlyIdempotent

FREE for your first 25 calls each day — no wallet, no signup, just call it ($0.01 per call via x402/USDC only after that daily allowance, which resets at 00:00 UTC). Cook County, IL parcel record for a 10- or 14-digit PIN. Returns: pin, prop_address, prop_city, prop_zip, class, township_name, nbhd_code, municipality, ward, police_district, census_tract_geoid, school_elementary_district, school_secondary_district, walk_score_cmap, airport_noise_dnl, lat, lon, tax_year. The cheap single-property lookup — use get_cook_county_property_dossier for sales, permits and assessments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pinYes10- or 14-digit Cook County PIN (digits; dashes allowed, e.g. 14-08-120-017-0000). If you only have a street address, call search_chicago_property_by_address first.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds meaningful context beyond annotations: free daily allowance, reset time, post-allowance payment method, and the exact shape of returned data.

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 somewhat long but every section earns its place: pricing, return fields, and sibling differentiation. The most attention-grabbing detail (free tier) is front-loaded.

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?

For a single-parameter, read-only lookup with no output schema, the description is complete: it covers input format, return fields, cost behavior, and when to choose an alternative tool. No critical operational detail is missing.

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 coverage is 100% and the schema already explains the PIN pattern, dashes, example, and address fallback. The description mostly restates the 10/14-digit PIN requirement without adding new parameter meaning beyond the 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?

The description names a specific resource ('Cook County, IL parcel record') and a precise input ('10- or 14-digit PIN'), then lists exact return fields. It also distinguishes itself from the dossier sibling by calling itself 'the cheap single-property lookup.'

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

Usage Guidelines5/5

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

Explicitly says to use get_cook_county_property_dossier when sales, permits, or assessments are needed, and to call search_chicago_property_by_address first when only a street address is available. This gives clear routing guidance versus siblings.

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

A4.7/5.0
Disambiguation5/5

Each tool targets a distinct step in the property-data workflow: address-to-PIN resolution, parcel lookup, full dossier, comparable sales, and a free sample. The descriptions explicitly differentiate parcel vs. dossier and subject sales history vs. comparable sales, so there is no real ambiguity.

Naming Consistency5/5

All tool names use a consistent snake_case verb_object pattern, with get_ for direct lookups and find_/search_ for lookup-style operations. The naming is predictable and makes the purpose of each tool immediately clear.

Tool Count5/5

Five tools is a well-scoped size for a property-data server: address search, parcel lookup, full dossier, comparable sales, and a sample endpoint. Each tool earns its place and there is no bloat or redundancy.

Completeness5/5

The tool set covers the core read-only property-data lifecycle: resolve address to PIN, get basic parcel data, get a comprehensive dossier with sales/permits/assessments, and generate comparable-sales context. A free sample tool also helps validate response shapes, so there are no obvious dead ends for typical use cases.

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