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Glama

Search Projects

search_projects
Read-only

Search development projects/buildings BY NAME (or city, or DEVELOPER). Use q with the project or building name — e.g. q="Petra Tower" — punctuation/accents ignored, and a name lookup also finds completed/sold-out buildings. This is how you answer "apartments in <building/tower name>" and "is there a project called X". For "projects by " use company with the developer's name (NOT q — project names rarely contain the developer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoProject/building name (partial ok; punctuation/accents ignored)
cityNo
sortNo
limitNo
statusNo
companyNoDeveloper/company name to list that developer's projects, e.g. "Pro Invest"
verifiedNo
max_priceNo
min_priceNo

TDQS

A4.1/5.0
Behavior4/5

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

Beyond the readOnlyHint annotation, the description discloses that punctuation/accents are ignored and that name lookups also find completed/sold-out buildings. No contradictions with annotations.

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?

The description is relatively concise with two sentences. It front-loads the primary purpose. Slight redundancy in the second sentence could be tightened, but overall effective.

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?

Given no output schema, the description covers key behaviors (name search, developer search, handling of completed buildings). It omits return value details but is sufficient for a search tool.

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 coverage is low (22%), and the description adds detailed meaning for `q` and `company` but does not explain other parameters like `city`, `sort`, `limit`, etc. More parameter context would improve usability.

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 the tool searches development projects/buildings by name, city, or developer. It uses specific verbs and resources, and distinguishes from sibling tools like search_listings.

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?

The description explicitly tells when to use `q` for names and `company` for developers, with examples. It guides the agent on appropriate usage but could mention when not to use this tool compared to other search tools.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes covering account management, listings, search, financials, etc. However, `fetch` and `get_listing` both retrieve full listing details, creating potential confusion. Also, `search` and `search_listings` overlap but are differentiated by free-text vs. filtered search.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_listing`, `publish_listing`, `connect_account`). The naming is predictable and clear throughout.

Tool Count3/5

At 39 tools, the server is quite large for a real estate domain. While it covers many aspects, some tools like `fetch` and `get_listing` are redundant. The count feels excessive and could be streamlined to around 25-30 without losing functionality.

Completeness4/5

The tool set covers listing CRUD, various search types, agent/company profiles, financial calculators, inquiries, saved searches, and account management. Minor gaps exist, such as lack of bulk operations or advanced analytics, but core workflows are well-supported.

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