schema_list
List locally available Microsoft JSON schemas to verify schema access for PBIR report and TMDL model generation.
Instructions
List locally available Microsoft JSON schemas.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List locally available Microsoft JSON schemas to verify schema access for PBIR report and TMDL model generation.
List locally available Microsoft JSON schemas.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds the qualifier 'locally available', but does not describe return format, error scenarios, or other side effects. For a simple listing tool, this is adequate but not richly transparent.
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 extraneous words. Every word adds meaning: 'List' (action), 'locally available' (scope), 'Microsoft JSON schemas' (resource). Extremely concise.
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 tool with no parameters and no output schema, the description covers the core purpose. However, it does not specify the format or structure of the return value, which could be helpful for an AI agent to know whether it receives a list of names, objects, etc. Adequate but not fully complete.
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 tool has zero parameters and schema coverage is trivially 100%. The description adds no param-specific information, which is acceptable given no parameters exist. 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 uses the specific verb 'List' and identifies the resource as 'locally available Microsoft JSON schemas', which clearly distinguishes it from sibling tools like schema_get (retrieve specific schema) and schema_sync (sync schemas).
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 implies usage for listing schemas but does not explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. Usage context is indirectly clear from the tool name and siblings.
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/haiprobmt/PBIP-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server