read_file
Read a file from the filesystem and return its contents as a string for further processing.
Instructions
This function will read the contents of a file and return it as a string.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes |
Read a file from the filesystem and return its contents as a string for further processing.
This function will read the contents of a file and return it as a string.
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description only states the basic function. It does not disclose error behavior (e.g., file not found), encoding assumptions, or return format beyond 'string'. The description carries the full burden but provides minimal insight.
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 with no unnecessary words. However, it could be restructured to include key constraints (e.g., path format) without increasing length significantly.
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?
With no output schema, no annotations, and only one parameter, the description is minimal. It does not explain return behavior for different inputs, error handling, or performance implications. A more complete description would address these gaps.
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 coverage is 0%: the schema only provides type and required constraints. The description mentions 'file' generically but adds no semantic meaning about what kind of file path is expected (absolute, relative, allowed extensions). For a single-parameter tool, the description should elaborate.
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 it reads a file and returns a string. The verb 'read' and resource 'file' are unambiguous. However, it does not specify path interpretation (absolute/relative) or supported file types, leaving some ambiguity.
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?
No guidance is provided on when to use this tool versus alternatives like grep or python_code. There is no mention of file size limits, permissions, or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/UjjwalKo/mcp-pypi-terminal'
If you have feedback or need assistance with the MCP directory API, please join our Discord server