read_output
Obtain the full output generated during Brainfuck execution for debugging and inspection.
Instructions
Get the full output string generated so far.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Obtain the full output generated during Brainfuck execution for debugging and inspection.
Get the full output string generated so far.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states the basic function, omitting details like side effects (e.g., whether reading clears the output), idempotency, or authorization needs.
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 sentence with no filler. It is concise and front-loaded with the verb, meeting the requirement of efficiency.
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 (0 params, no output schema), the description is adequate but lacks context about what 'output' refers to (e.g., console output from run?) and whether it resets after reading.
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 input schema has 0 parameters, so schema coverage is 100%. The baseline for 0 parameters is 4, and the description adds no additional parameter info because none exist.
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 'Get the full output string generated so far' clearly states the verb (Get) and the resource (the full output string). It distinguishes from siblings like get_state (state vs output) and other actions.
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 on when to use this tool versus siblings like get_state or run. The description does not mention prerequisites, alternatives, or context for use.
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/labarilem/brainfaq-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server