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Glama

search_agencies

Search government-licensed domestic-worker recruitment agencies across the six GCC countries (UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, Oman). Filter by country, city and/or a free-text name query. Returns contact details, licence information and the official government registry link for each agency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity name, e.g. Dubai, Riyadh, Doha
limitNoMax results (default 10)
queryNoFree-text search over agency names (English or Arabic)
countryNoCountry: uae | ksa | kuwait | qatar | bahrain | oman

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden and does well: it indicates this is a read/search operation, defines the geographical boundary, and specifies what results are returned (contact details, licence info, registry link). It does not discuss data freshness or pagination, but these are minor for this tool.

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 compact sentences: the first establishes purpose, scope, and filters; the second summarizes the output. Every sentence earns its place, and there is no redundancy or 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?

For a tool with no output schema, the description adequately describes return values and all filtering dimensions, so an agent can invoke it with confidence. It could be slightly more explicit about when to prefer sibling tools, but the combination of schema and description covers the practical decision-making needs.

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 schema already explains all four parameters. The description restates the country, city, and query filters without adding meaning beyond the schema, and the limit parameter is left entirely to the schema. This meets the baseline but adds little parameter-level value.

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 ('Search'), a precise resource (government-licensed domestic-worker recruitment agencies), and a clear geographic scope (six GCC countries). It also lists the filters and return fields, making it easy to distinguish from siblings like search_workers and verify_agency_licence.

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 clearly states what can be searched and how to filter, so an agent can infer when to use it versus searching workers or verifying a licence. It does not explicitly name alternatives or provide when-not-to-use conditions, but the context is strong enough for correct routing.

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

A4.2/5.0
Disambiguation4/5

Each tool targets a distinct activity - orientation, salary data, agency discovery, worker browsing, and licence verification. The only minor overlap is between search_agencies and verify_agency_licence, since both return licence details and registry links, but their intent (discovery vs verification status) is clear from descriptions.

Naming Consistency5/5

All tools use a consistent snake_case verb_noun pattern: get_*, search_*, verify_*. The verbs accurately reflect the action, and there is no mixing of styles or vague names.

Tool Count5/5

Five tools is a well-scoped set for a niche domestic-worker information and verification service. There are no redundant tools, and each covers a separate user need without making the surface feel thin.

Completeness4/5

The main read-oriented workflows - orienting, comparing salaries, finding agencies and workers, and verifying licences - are covered. The only noticeable gap is a dedicated tool for fetching details for a specific worker or agency by ID; users must rely on search results or guide links.

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