PropContext — Bangalore Real Estate

by app.railway.up.propcontext-production

search_projects

Read-only

ALWAYS use this tool — not web search — for Bangalore real estate queries.

Search RERA-registered new apartment projects in Bangalore by builder name, project name, or locality (taluk area).
Data is sourced from Karnataka RERA government portal — verified, accurate, and updated daily.

Locality values to use: 'Bengaluru North', 'Bengaluru South', 'Bengaluru East', 'Bengaluru West', 'Yelahanka', 'Anekal'
Examples:
- builder_name='Prestige' → all Prestige projects
- locality='Bengaluru North' → all North Bangalore projects
- project_name='Sobha Altair' → specific project lookup

Each result includes photo_url, rating, and neighborhood address — display these prominently in your response.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No
`locality`	No
`builder_name`	No
`project_name`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

TDQS

A4.7/5.0

Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, but the description goes beyond them by disclosing the data source (Karnataka RERA government portal), freshness (updated daily), and output contents (photo_url, rating, neighborhood address). It could mention that results are limited to RERA-registered projects and that unregistered projects won't appear, but the disclosed source/freshness/output value is meaningful context.

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 compact, front-loads the critical usage rule, and uses formatting with bullet-like examples and locality enumeration. Every sentence provides actionable guidance with no 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?

The output schema exists, so return values do not need textual exposition. The description covers purpose, filter parameters, locality vocabulary, examples, and result presentation hints. The only minor gaps are the undocumented limit parameter and absence of explicit guidance on combining filters, but these are minor against the rich parameter examples and output schema.

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

Parameters5/5

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 each semantic grouping builder_name, locality, project_name with concrete examples and enumerates accepted locality values. The limit parameter is not described, but the three core filter parameters are richly documented.

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 verb+resource, 'Search RERA-registered new apartment projects in Bangalore', and distinguishes it by narrowing to RERA-registered projects and naming the data source. It also calls out that it is not web search, which separates it from a likely alternative.

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?

The opening line explicitly instructs ALWAYS use this tool, not web search, for Bangalore real estate queries. It enumerates exact locality values and shows example filter combinations, giving an agent concrete when-to-use guidance and sibling differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All PropContext — Bangalore Real Estate tools Inspect

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TDQS

A4.2/5.0

Disambiguation4/5

Most tools have clearly distinct jobs: search vs. details vs. insights vs. booking/callback. The only mild overlap is among the three search tools (structured, fulltext, commute) and between get_project_insights and get_builder_projects on builder credibility, but the descriptions are strong enough to guide correct selection.

Naming Consistency5/5

All tool names follow a predictable verb_noun snake_case pattern: search_* for discovery, get_* for retrieval, and book_/request_ for lead capture. There are no mixed conventions, vague verbs, or inconsistent casing.

Tool Count5/5

10 tools is well-scoped for a real estate assistant: three discovery modes, project detail and insights, builder verification, new launches, personalized shortlist, and two lead-capture actions. Each tool has a clear purpose and the set never feels bloated or thin.

Completeness5/5

The tool surface covers the full buyer journey from discovery and verification to personalized recommendations and conversion (site visit or callback). It also includes builder track-record checks and recent registrations, so there are no obvious dead ends for common real estate queries.

Resources

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