read_file
Access file contents in a synthetic repository to test AI agent security controls and detect unauthorized access.
Instructions
Read a file in the synthetic repository.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes |
Access file contents in a synthetic repository to test AI agent security controls and detect unauthorized access.
Read a file in the synthetic repository.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The verb 'read' implies a non-mutating operation, but with no annotations provided, the description fails to disclose potential exceptions (e.g., file not found), permission requirements, or return behavior. The agent gets minimal behavioral insight beyond the word 'read'.
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 one concise, front-loaded sentence with no wasted words. It is appropriately sized for a simple tool, though it could have used the space for parameter details.
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 simplicity (one parameter, no output schema), the description is too thin. It does not explain how to construct the path, what response to expect, or any error conditions, leaving critical gaps for successful invocation.
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?
The schema leaves 'path' entirely undocumented (0% schema coverage), and the description adds no explanation about the path format, whether it is absolute or relative, or whether it refers to a file or directory. The agent has no guidance for correctly populating the parameter.
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 the action (read) and resource (file) within the synthetic repository, distinguishing it from sibling tools that target issues, pull requests, or commands. However, it does not explicitly mention that it returns file contents, so it falls short of a perfect score.
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?
Usage is implied by the tool name and sibling set: to read a file, this is the obvious tool. However, there is no explicit guidance on when to use it versus alternatives or any exclusion criteria, so the agent must infer the use case.
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/ofirtro/trustharness'
If you have feedback or need assistance with the MCP directory API, please join our Discord server