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MCP Gemini API Server

by techkwon

analyze_files

Process and analyze multiple files using a specified prompt to extract insights or generate responses via the MCP Gemini API, supporting customizable timeout and output size limits.

Instructions

Analyze multiple files with a given prompt using Gemini CLI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxOutputKBNoMaximum output size in KB (optional)
pathsYesArray of file paths to analyze
promptYesQuestion or instruction for analysis
timeoutNoTimeout in seconds (optional)
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 using 'Gemini CLI' but doesn't explain what that entails—such as whether it's an external API call, potential rate limits, authentication needs, or what happens during analysis (e.g., file reading, processing time). This leaves significant gaps in understanding the tool's behavior.

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 that directly states the tool's function without unnecessary words. It's front-loaded with the core action and mechanism, making it easy to grasp 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 the complexity of analyzing files with an external CLI, no annotations, and no output schema, the description is incomplete. It doesn't cover critical aspects like expected output format, error handling, or behavioral traits (e.g., whether files are modified), leaving the agent with insufficient context for effective use.

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 all parameters thoroughly. The description adds no additional meaning beyond what's in the schema, such as explaining how 'paths' should be formatted or what 'analyze' entails for the 'prompt'. 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.

Purpose4/5

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

The description clearly states the action ('analyze multiple files') and the mechanism ('using Gemini CLI'), which is specific and actionable. However, it doesn't explicitly distinguish this tool from its sibling 'analyze_directory', which likely analyzes directories instead of individual files, leaving some ambiguity in 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?

The description provides no guidance on when to use this tool versus alternatives like 'analyze_directory' or 'raw_prompt'. It lacks context about prerequisites, such as file accessibility or Gemini CLI setup, and doesn't mention any exclusions or specific use cases.

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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