get_fixture_baseline_status
Check if the de-identified fixture baseline meets G2 compliance requirements.
Instructions
Report whether the de-identified fixture baseline satisfies G2.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check if the de-identified fixture baseline meets G2 compliance requirements.
Report whether the de-identified fixture baseline satisfies G2.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for behavioral disclosure. It only states the tool 'reports' without indicating side effects, permissions, or response format, leaving significant ambiguity.
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, front-loaded sentence with no wasted words, perfectly concise for the tool's simplicity.
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?
The description is minimally complete for a zero-parameter tool, but the lack of output schema or details about the return value (e.g., boolean) leaves some ambiguity.
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?
There are no parameters, and schema coverage is 100%, so the description does not need to add parameter details. A baseline score of 4 is appropriate.
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 tool reports whether a fixture baseline satisfies G2, using a specific verb and resource. It distinguishes from siblings by its specific function, though 'G2' is not explained.
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 siblings. Given zero parameters, usage is implicit, but no context or prerequisites are mentioned.
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/trionnemesis/cc-crossbeam-tw'
If you have feedback or need assistance with the MCP directory API, please join our Discord server