list_instruments
List available cellpy loaders and determine which are executable on this system.
Instructions
Which cellpy loaders exist, and which can actually run on this machine.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available cellpy loaders and determine which are executable on this system.
Which cellpy loaders exist, and which can actually run on this machine.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It conveys a read-only probing behavior—checking existence and local runnability—but does not disclose how runnability is determined or what the output format looks like.
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, compact sentence that front-loads the tool's purpose and wastes no words. It efficiently conveys both existence checking and runnability checking.
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 zero-parameter tool with no output schema, this description is sufficiently complete for selection and invocation. It tells the agent what information the tool provides, though it does not specify the exact output shape.
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 the schema coverage is complete, so no parameter explanation is needed. The baseline for zero-parameter tools is 4, and nothing is missing.
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 what the tool does: it identifies which cellpy loaders exist and which are runnable on the current machine. This distinguishes it from siblings like load_cell and list_cells, which operate on data rather than discovering loader capabilities.
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 this tool is for environment/capability discovery, and the sibling context reinforces that it is not for loading or listing data. However, it does not explicitly state when to use this tool over alternatives or mention any exclusions.
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/cellpy/cellpy-mcp'
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