web_search
Search the live web in Turkish or English and return a synthesized answer with sources. Powered by Alya's research engine.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | Output language | |
| query | Yes | Search query |
Search the live web in Turkish or English and return a synthesized answer with sources. Powered by Alya's research engine.
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | Output language | |
| query | Yes | Search query |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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 that the tool returns a 'synthesized answer with sources,' which is useful. However, it does not detail any behavioral traits such as rate limits, required permissions, or handling of missing results. The behavior is generally clear but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the tool's purpose and key features (languages, output type). No unnecessary words or redundancy. It is front-loaded with the main action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (2 parameters, no output schema), the description is mostly complete. It explains the return value (synthesized answer with sources) and the language constraint. It could mention supported domains or result format, but it suffices for a basic search tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters. The description adds the context that the language parameter restricts to Turkish or English, which is a minor clarification. It does not add significant new meaning beyond the schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Search the live web in Turkish or English and return a synthesized answer with sources.' The verb 'search' and resource 'live web' are specific, and the language constraint distinguishes it from other tools. No sibling tool appears to duplicate this function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide guidance on when to use this tool versus alternatives. It lacks explicit context about when not to use it or mention of alternative tools for different scenarios (e.g., specialized searches).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, with clear separation across domains like finance, healthcare, gems, and YouTube. Some overlap exists between 'alya_ask' and 'web_search' for general queries, but descriptions help differentiate.
Tools use snake_case consistently, but there is inconsistency in the use of the 'alya_' prefix – some tools have it, others don't (e.g., 'batch_calibrate', 'web_search'). Related tools like 'calibrate_decision' and 'batch_calibrate' are not grouped by prefix.
With 32 tools, the count is high but arguably appropriate for a 'hub' serving multiple domains. However, it feels slightly heavy and could be streamlined, especially given overlapping query capabilities.
The tool surface covers major workflows (e.g., YouTube content creation, Polymarket trading, gem appraisal, healthcare checks) with few obvious dead ends. Minor gaps exist, such as lack of a tool to place Polymarket bets directly or edit gem entries.