MCP Gemini Server

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 the streaming nature and suitability for interactive/long responses, which adds useful context beyond basic function. However, it doesn't cover critical behavioral aspects like rate limits, authentication needs, error handling, or what the stream output format looks like, leaving significant gaps for a tool with no 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.

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

The description is perfectly concise with four sentences that each earn their place: stating the core function, explaining the streaming behavior, describing use cases, and noting parameter control. It's front-loaded with the essential purpose and wastes no words.

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 tool's complexity (streaming AI generation with multiple optional parameters), no annotations, and no output schema, the description is incomplete. While it covers the basic purpose and streaming nature, it lacks details on output format, error conditions, rate limits, and authentication requirements that would be needed for full contextual understanding.

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 all 4 parameters thoroughly. The description mentions 'optional parameters allow control over generation and safety settings,' which adds minimal semantic context about parameter purposes but doesn't provide significant value beyond what's in the schema. This meets the baseline for high schema coverage.

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 'generates text content as a stream using a specified Google Gemini model' with a text prompt, which is a specific verb+resource combination. However, it doesn't explicitly distinguish this streaming tool from its sibling 'gemini_generateContent' (non-streaming version), which is a missed opportunity for full sibling differentiation.

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 provides implied usage guidance by stating it's 'suitable for interactive use cases or handling long responses,' which suggests when streaming is beneficial. However, it doesn't explicitly state when to use this tool versus the non-streaming 'gemini_generateContent' sibling or mention any prerequisites or exclusions, leaving the guidance incomplete.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.