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MCP Gemini API Server

by techkwon

get_config

Retrieve specific configuration values by key to manage and customize settings within the MCP Gemini API Server, enabling streamlined access to AI capabilities like text generation and image analysis.

Instructions

Get configuration value

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesConfiguration key to retrieve
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the action without behavioral details. It doesn't disclose if this is read-only, requires authentication, has rate limits, or what happens on errors. This is a significant gap for a 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's appropriately sized for a simple tool and front-loaded with the core action, making it easy to parse quickly.

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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what the return value looks like (e.g., string, object, error handling) or provide context for the configuration system. For a tool with 1 parameter and minimal structured data, it should do more to compensate.

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 documents the 'key' parameter fully. The description adds no additional meaning beyond what the schema provides, such as examples of valid keys or format constraints. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose3/5

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

The description 'Get configuration value' states the basic action (get) and resource (configuration value), but it's vague about scope and doesn't distinguish from sibling tools like 'set_config'. It's not tautological but lacks specificity about what kind of configuration or system is involved.

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 guidance is provided on when to use this tool versus alternatives like 'set_config' or other siblings. The description implies retrieval but doesn't specify prerequisites, contexts, or exclusions for usage.

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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