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Distressed assets: repeatedly unsold lots

distressed_assets
Read-onlyIdempotent
Properties that keep going to auction and NEVER SELL — the distress screen.

The clearest distress signal in the warehouse: a vendor who wants out and a
market that has said no more than once, both on the public record. Ranked by
how many separate auctions the lot has failed at, then by how long it has
been on the circuit.

READ `guide_to_avm` BEFORE CALLING ANY ROW AN OPPORTUNITY. It is the latest
guide divided by our AVM, and it is the difference between the two reasons a
lot fails:
  * above 1.0 — guided ABOVE our estimate. It keeps failing because it is
    priced wrong. That is a repricing conversation, not a discount.
  * 0.5-1.0 — guided below estimate and repeatedly unsold. The cohort worth
    a call.
  * below ~0.5 — check the lease before anything else. A flat guided at a
    fraction of a freehold estimate is usually short lease, ground rent or a
    garage, not a bargain.

`max_guide_to_avm` filters on that ratio; 0.8 keeps only lots guided at
least 20% below estimate. Lots with no guide or no AVM are EXCLUDED when it
is set, because an unknown ratio is not a low one.

Rows are grouped by ADDRESS, not UPRN. Flat-level UPRN matching in this
table collapses separate flats onto one id — five flats in one Nottingham
block share a single UPRN — so a per-UPRN count over-reports. `uprn` is
returned for onward lookups but is not what rows are counted by, and for a
subdivided building it may name a neighbouring unit.

Geography is postcode district or area, not area_id — the auction table
carries postcodes and the UPRN join is too weak to filter on.

UK only. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
yearsNo
offsetNo
min_auctionsNo
is_commercialNo
postcode_areaNo
max_guide_to_avmNo
postcode_districtNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the safety annotations (readOnly, idempotent, closed-world) with behavior the agent could not otherwise know: rows are grouped by ADDRESS not UPRN because flat-level UPRN collapses units, the returned uprn may name a neighbouring unit, and max_guide_to_avm EXCLUDES lots with missing guide/AVM. These disclose non-obvious counting and filtering semantics and the UK-only, free scope.

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?

Front-loaded with the headline and the headline constraint, then the interpretation ladder as a scannable bullet list. The opening line 'both on the public record' is slightly rhetorical and the guide-section is long, but every block carries decision-relevant content rather than filler.

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?

An output schema exists, so return values need no prose, and the description covers counting unit, geography, and the exclusion trap. The remaining gap is the undocumented pagination/scope parameters (limit, offset, years), which an agent must guess at defaults for.

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 description coverage is 0%, so the description carries the full burden. It explains max_guide_to_avm (with a worked 0.8 example) and pins geography to postcode_area/postcode_district rather than area_id, but leave limit, offset, years, min_auctions and is_commercial undocumented — five of eight parameters have no semantics anywhere.

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?

States a specific verb and resource with scope: 'Properties that keep going to auction and NEVER SELL — the distress screen.' This is clearly distinguishable from siblings like auction_lots (all lots) and auction_discount (price fall), and the ranking logic ('failed auctions, then time on circuit') further pins down what the tool returns.

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?

Strong domain guidance: read guide_to_avm first, and an explicit interpretation ladder (above 1.0 = repricing conversation, 0.5-1.0 = worth a call, below ~0.5 = check the lease) that tells the agent both when the output is actionable and when it is a trap. It does not, however, name sibling tools or say when a different auction tool would be the better pick, so routing to alternatives is left to inference.

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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