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Glama

UK Property Intelligence

property_blocks

Find buildings with multiple flat sales — block buying opportunities.

Groups Land Registry transactions by building to identify blocks being sold off, investor exits, and bulk-buy opportunities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of blocks to return (default 50)
monthsNoLookback period in months (default 24)
postcodeYesUK postcode (e.g. "B1 1AA")
search_levelNoSearch granularity — "postcode", "sector", or "district" (default "sector")sector
property_typeNoPPD property type filter — "F" for flats, None for all types (default "F")F
min_transactionsNoMinimum sales per building to qualify (default 2)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the key behavioral trait of grouping transactions by building and identifying patterns like blocks being sold off. While it doesn't state permissions or limitations, the read-only nature is implicit, and the description adds meaningful context beyond the schema.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the primary purpose ('Find buildings with multiple flat sales') and followed by a concise explanation. Every word earns its place, with no redundancy or fluff.

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?

The tool has 6 parameters, an output schema, and no annotations. The description covers the core purpose and grouping behavior, which is sufficient for an agent to select and invoke it. The output schema likely handles return value details, so the description doesn't need to explain those. Minor gap: no explicit alternative references, but overall adequately complete.

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 100%, so the baseline is 3. The description mentions 'flat sales' which aligns with the default property_type='F', but it doesn't add significant parameter-level meaning beyond what the schema already provides.

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 states what the tool does: 'Find buildings with multiple flat sales' and elaborates by saying it 'Groups Land Registry transactions by building to identify blocks being sold off, investor exits, and bulk-buy opportunities.' This specific verb+resource combination distinguishes it from siblings like ppd_transactions (raw transaction lookup) and property_comps (comparison analysis).

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 suggestion of 'block buying opportunities' implies a use case, but there is no explicit statement of when to use this tool versus alternatives, nor any exclusions. The relationship to siblings is not mentioned, so usage guidance is implied rather than explicit.

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
Disambiguation4/5

Most tools have clear, distinct purposes (company records, planning URLs, transactions, EPC, rentals, listings). The main overlap is between property_yield, rental_analysis, and property_comps, which all touch rental/comparable calculations, but descriptions clarify their focus. property_report aggregates many data points but is distinct as a one-stop pull.

Naming Consistency3/5

Tool names use lowercase with underscores but mix action-style names (company_search, rightmove_listing) with noun-style names (property_blocks, property_report). Some abbreviations like 'ppd' and 'comps' are inconsistent with longer names. The pattern is readable but not uniform.

Tool Count5/5

13 tools is well-scoped for a comprehensive property intelligence server. Each tool covers a distinct data source or workflow, and the count is not overwhelming.

Completeness4/5

The surface covers company data, planning portal access, transactions, comparables, EPC, rental analysis, listings, and stamp duty. It lacks planning application data (only URLs) and some niche property checks, but core residential and investment workflows are supported.

Resources