Skip to main content
Glama

read_file

Retrieve and display the contents of a file within a Unity project using a specified path, enabling AI assistants to interact with project data.

Instructions

Reads the contents of a file inside a Unity project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
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 states the action ('Reads') but doesn't mention potential constraints like file size limits, encoding issues, error handling for missing files, or performance implications. This leaves significant gaps in understanding how the tool behaves beyond its basic function.

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, clear sentence with no wasted words. It front-loads the core action and context efficiently, making it easy to parse and understand at a glance.

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 tool's complexity (reading file contents), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., text content, binary data, error messages) or address common edge cases like permissions or file existence, making it inadequate for reliable 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 schema description coverage is 0%, so the description must compensate. It implies the 'path' parameter refers to a file path within a Unity project, adding context beyond the schema's minimal type constraints. However, it doesn't specify path format (e.g., relative vs. absolute), supported file types, or examples, leaving some ambiguity.

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 ('Reads') and target ('contents of a file inside a Unity project'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_files_in_project' (which enumerates files vs. reading content), leaving room for minor ambiguity.

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 'list_files_in_project' or 'list_projects'. It mentions the context ('inside a Unity project') but lacks explicit when-to-use or when-not-to-use instructions, leaving the agent to infer usage scenarios.

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

Related 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/TSavo/Unity-MCP'

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