Skip to main content
Glama

analyze_code

Analyze code structure and dependencies to understand program architecture and relationships between components.

Instructions

Analyze code structure and dependencies

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesFile or directory to analyze
languageNoProgramming language
Behavior2/5

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 'analyze' but doesn't specify what the analysis entails (e.g., static vs. dynamic, output format, performance impact, or error handling). This is a significant gap 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.

Conciseness5/5

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

The description is a single, efficient phrase with no wasted words, making it highly concise and front-loaded. Every word contributes directly to stating the tool's purpose.

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 code analysis, no annotations, and no output schema, the description is insufficient. It lacks details on behavior, output format, and how it differs from siblings, making it incomplete for effective agent 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?

The input schema has 100% description coverage, clearly documenting both parameters ('path' and 'language'). The description adds no additional meaning beyond the schema, such as examples or constraints, but since the schema is comprehensive, the baseline score of 3 is appropriate.

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 'Analyze code structure and dependencies' clearly states the tool's purpose with a specific verb ('analyze') and resource ('code structure and dependencies'), making it understandable. However, it doesn't differentiate from sibling tools like 'analyze_file_differences' or 'search_code', which might also involve code analysis, so it's not fully distinctive.

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. There are no explicit instructions on context, prerequisites, or comparisons to siblings such as 'analyze_file_differences' or 'search_code', leaving the agent without usage direction.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/block/vscode-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server