OKC Property Check
Server Details
Free flip check for Oklahoma City small-commercial deals on hard-money terms; paid full report.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no risk of selecting the wrong tool or confusing overlapping purposes. Its single purpose—running an OKC small-commercial flip deal check—is clearly stated.
The single tool uses a readable snake_case name, but it is descriptive/noun-oriented rather than following a verb_noun convention. With only one tool, consistency is not meaningfully testable, though the name is clear enough.
A single tool is thin for a server framed as “OKC Property Check,” even if that tool is intentionally a lead-generation calculator. It may be sufficient for one narrow workflow but feels under-scoped as a standalone server.
The tool only performs a free deal check and explicitly withholds the max modeled price and full report, forcing the user to an external purchase link. There is no property lookup, comps, full analysis retrieval, or other lifecycle coverage implied by the server name.
Available Tools
1 toolokc_flip_mathSmall-commercial flip mathARead-onlyIdempotentInspect
Free deal check for an Oklahoma City small-commercial flip: says whether it works at the asking price, is close, is too rich, or works at no price, on OKC hard-money terms (75% of price at 11% plus 2 points, 2% buy closing, 7% sale costs, $1,000/month carry unless given, minimum 5-month hold, 12% profit-on-cost target). It does not return the max modeled price; it returns a link where the person can buy the full OKC Flip Report (exact max modeled price, break-even, price ladder, what-if checks, cost sheet) with the deal already filled in. Give exit_value, or annual_noi and cap_rate.
| Name | Required | Description | Default |
|---|---|---|---|
| address | No | Optional address, for your own reference. | |
| cap_rate | No | With annual_noi: the cap rate as a decimal, e.g. 0.085. | |
| annual_noi | No | Alternative to exit_value: stabilized yearly net operating income, USD. | |
| exit_value | No | Expected sale price after the work, USD. Base it on sold comps. | |
| building_sf | No | Optional building square feet, for per-square-foot figures. | |
| hold_months | No | Months from contract to resale. Default 6, minimum 5. | |
| reno_budget | No | Renovation budget, USD. Default 0. | |
| asking_price | Yes | Asking or purchase price, USD. | |
| notify_email | No | Optional. Leave an email if the person wants Dark Matter Syndicate to follow up about this deal. Only stored if given. | |
| carry_per_month | No | Taxes, insurance, utilities per month while held. Default 1000. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover safety (readOnly, idempotent, non-destructive), and the description goes well beyond them by listing the entire underwriting model (75% LTV at 11% plus 2 points, 2% buy closing, 7% sale costs, $1,000/mo carry, 5-month minimum hold, 12% profit-on-cost target) and disclosing that the response is a free verdict plus a paywalled-report link rather than the max price.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the verdict framing and the 'not the max price, a link' caveat, then the assumptions and input guidance. The single dense paragraph is long, especially the parenthetical assumptions list, but every clause carries information; slight loss for density over segmentation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description compensates fully: it states the return values (one of four verdicts plus a report link) and enumerates the exact deal assumptions behind the math. For a 10-param, annotation-rich tool, an agent has everything needed to call it and interpret the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the schema baseline is 3, but the description adds real meaning: it explains the alternative input paths (exit_value vs annual_noi + cap_rate) and notes the $1,000 carry default 'unless given' and the 5-month minimum hold, which reinforce rather than repeat the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names the specific verb (deal check) and resource (OKC small-commercial flip) and enumerates the four possible verdicts, so the agent knows exactly what output shape to expect. It is not a tautology and the scope (OKC hard-money terms) is explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Says to supply exit_value, or annual_noi with cap_rate, and clearly bounds the tool: it does not return the max modeled price, only a link to the full paid report. That is a clear use/scope boundary, though there are no siblings and no explicit 'do not use when' framing beyond the report upsell.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
okc_flip_math
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