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nkaewam

ADK MCP Server

by nkaewam

search_adk

Search Google ADK documentation to find relevant information, with filters for Python, Go, Java, or all languages.

Instructions

Search the Google ADK documentation for relevant information.

Args: query: The search query. language: The programming language to filter by ("python", "go", "java", or "all").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
languageYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 does not mention whether the search requires authentication, what types of results are returned, or any limitations. The word 'search' implies read-only, but specific behaviors remain undisclosed.

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 concise and front-loaded, with the main purpose in the first sentence and a clean, structured argument list. Every sentence serves a purpose with no fluff.

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 simple search tool with two required parameters and an output schema, the description covers the essentials: what it does and how to specify parameters. It lacks usage guidelines and behavioral details, but the low complexity and existing output schema mitigate these gaps.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no descriptions (0% coverage), so the description is essential. It clearly defines 'query' as the search query and 'language' as a filter with enumerated valid values ('python', 'go', 'java', 'all'), adding meaning beyond the bare 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 it searches Google ADK documentation for relevant information, using a specific verb and resource. However, without sibling tools to distinguish from, it cannot score 5 for sibling differentiation.

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?

No explicit guidance is provided on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description merely states what it does, leaving the agent to infer 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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