Create a MeatSpace API key instantly. No authentication required. Returns a Bearer token for use with the ask_human tool. Max 5 active keys per email address.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Agent or tool name (max 100 chars) | |
| Yes | Owner email address |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that no authentication is required, returns a Bearer token, and imposes a limit on active keys. This is meaningful behavioral context beyond the schema, though it does not cover failure modes or what happens when the limit is exceeded.
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 brief, front-loaded with the action, and every sentence provides distinct value: purpose, auth requirement, return value, and a constraint. No unnecessary words or repetition.
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?
For a simple two-parameter tool with no output schema, the description covers the return value (Bearer token), usage context (ask_human), and a crucial limit. This is fully sufficient for an agent to select and invoke the tool correctly.
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 100% with clear descriptions for both parameters (name, email). The description does not add any extra semantic detail beyond what the schema already provides, so it stays at the baseline of 3.
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 explicitly states 'Create a MeatSpace API key instantly', using a strong verb and specific resource. It also clearly differentiates from siblings by noting the token is for use with the ask_human tool, distinguishing it from get_service_status and ask_human.
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?
The description gives clear context by stating the key is for use with the ask_human tool and highlights a maximum of 5 active keys per email. However, it does not explicitly mention when to avoid using the tool or name alternative tools, which would push it to a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: ask_human for human interaction, get_service_status for service availability, and provision_api_key for key creation. No overlapping functionality.
All tools use a consistent verb_noun pattern in snake_case: ask_human, get_service_status, provision_api_key. The naming is clear and predictable.
With 3 tools, the server is minimal but covers the core workflow of human interaction. However, additional tools for managing API keys or retrieving ask results would be beneficial.
The tool set lacks essential features: no way to retrieve a pending ask result, no key management (list/revoke), and no tool to cancel or update an ask. Agents will likely fail to complete workflows involving delayed human responses.