MCP Gemini API Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'verify' but doesn't explain what this entails—whether it performs static analysis, runtime checks, or something else. Critical behavioral aspects like potential side effects, authentication needs, rate limits, or output format are omitted. The description is too brief to provide meaningful behavioral context for a tool with multiple parameters.

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, concise sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and efficient, making it easy to parse. However, it could be slightly more informative without losing conciseness, such as by hinting at the verification method. Overall, it's well-structured but minimalistic.

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 with 4 parameters and no annotations or output schema, the description is incomplete. It doesn't address what the tool returns, how verification is performed, or any behavioral traits. For a tool that likely involves code analysis or checking, more context is needed to understand its operation and results. The description is too sparse to be fully helpful without relying heavily on the schema.

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 input schema fully documents all parameters. The description adds no additional semantic information about parameters beyond what's in the schema. It doesn't explain how parameters like featureQuestion or paths relate to the verification process. With high schema coverage, the baseline score is 3, as the description doesn't compensate but also doesn't detract from the schema's documentation.

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 states the tool's purpose as verifying feature implementation in a codebase, which is clear but somewhat vague. It specifies 'verify' as the verb and 'feature' as the resource, but doesn't distinguish it from sibling tools like analyze_directory or analyze_files, which might have overlapping functionality. The purpose is understandable but lacks specificity about what 'verify' entails compared to analysis tools.

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 no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like analyze_directory or analyze_files, nor does it specify contexts or prerequisites for usage. Without any usage instructions, the agent must infer when this tool is appropriate based on the name alone, which is insufficient for effective tool selection.

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