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ozand

Ayga MCP Client

by ozand

search_bing_search

Search the web using Bing to find information, websites, and answers to queries through the Ayga MCP Client's unified search interface.

Instructions

Bing web search. Args: query (string), timeout (int, default 90)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query or prompt
timeoutNoMaximum wait time in seconds
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions a timeout parameter but doesn't explain what happens when it's exceeded, whether results are paginated, rate limits, authentication needs, or what the output format looks like. This is inadequate for a search tool with zero annotation coverage.

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 very concise with only one sentence, making it easy to parse. However, it could be more front-loaded by starting with the core purpose before listing parameters, and the parameter details feel somewhat tacked on rather than integrated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with no annotations and no output schema, the description is incomplete. It doesn't explain what kind of results to expect, how they're structured, or any behavioral aspects like error handling. Given the complexity of web search and the lack of structured metadata, this leaves significant gaps for an AI agent.

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 fully documents both parameters. The description adds minimal value by restating the parameter names and types, but doesn't provide additional context like query formatting examples or timeout implications beyond what's in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('search') and resource ('Bing web'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like search_google_search or search_duckduckgo, which would require a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like search_google_search or search_chatgpt. It lacks context about Bing-specific features or scenarios where it might be preferred, offering only basic parameter information without usage context.

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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