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stalled_surety

STALLED-PROJECT candidates for SURETY / DRAW-CONTROL firms + the exposed construction lender. Each is a large ASSESSABLE building permit (real funded build) whose status is still NOT CLOSED well PAST its size-appropriate build window — an issued-but-never-finaled permit (no certificate-of-occupancy proxy reached). Built off the SAME nightly Cook Assessor Permits pull; the permit carries its own status field. Permit amount, age, expected build window, overdue days/%, current status. HONEST: 'stalled' is a STATUS+RECENCY inference, NOT a verified work-stoppage (paperwork lag / phased builds / slow finaling can also leave a permit OPEN) — the surety/draw-control firm confirms on the ground. Counties that do NOT expose permit status return an honest null for this stream; Cook does, so it ships here. Cook County.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
countyNoCounty (cook-il; only counties exposing permit status support this stream).
minTierNo

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 the full disclosure burden. It honestly explains that 'stalled' is a STATUS+RECENCY inference, not verified work-stoppage, and notes potential false positives (paperwork lag, phased builds). It also clarifies that some counties return null. This is high transparency, though it lacks details on rate limits or auth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is front-loaded with the purpose, but it is verbose and uses all-caps for emphasis, which may reduce readability. Some details (e.g., 'Cook County' repeated) could be trimmed. It earns its sentences but could be more concise.

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?

For a tool with 3 parameters (none required) and no output schema, the description provides adequate context: it lists output fields (permit amount, age, etc.), explains data source, and notes county limitations. It is complete enough for the tool's complexity, though parameter descriptions would improve it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 33% (only 'county' has a description). The tool has 3 parameters, but the description does not elaborate on 'limit' or 'minTier' beyond what the schema provides. Given low coverage, the description should compensate but does not. The output context is described, but parameter semantics are lacking.

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 clearly identifies the tool's purpose: providing STALLED-PROJECT candidates for surety/draw-control firms and lenders. It specifies the criteria (large assessable building permits not closed past build window) and distinguishes it from a general permit stream by noting the inference and data source.

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 for Cook County only (county parameter is cook-il) and mentions that counties not exposing permit status return null. However, it does not explicitly state when to use this tool versus alternatives like 'construction_window_leads' or 'overassessment_leads'. Context is provided but no direct 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

A4/5.0
Disambiguation5/5

Each tool targets a distinct aspect of property data: permit windows, stalled projects, exemption flags, lien reports, overassessment leads (commercial vs single parcel), and county metadata. The descriptions clearly differentiate their purposes, with no functional overlap.

Naming Consistency5/5

All tool names use a consistent underscore_case pattern with descriptive noun phrases (e.g., construction_window_leads, exemption_flags). No mixed conventions or cryptic abbreviations are present.

Tool Count5/5

Seven tools provide a well-scoped set for the server's purpose (property analytics for various stakeholders). Neither too few nor too many—each tool serves a clear, distinct function.

Completeness4/5

The tool set covers core workflows for permit tracking, exemption auditing, lien analysis, and overassessment detection. Minor gaps exist (e.g., no general property detail lookup), but the server seems intentionally focused on lead generation and flagged issues.

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