Skip to main content
Glama
Zmokizmoghi

orca-profiles-mcp

by Zmokizmoghi

get_setup

Fetches Orca profile roots, app version, vendors, and selected presets, establishing the baseline for reading or modifying profiles.

Instructions

Discovered Orca profile roots, application version, vendors, selected presets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It does convey that the tool surfaces discovered setup data, implying a read-only inspection, but it does not explicitly state side effects, caching, discovery behavior, or error/failure characteristics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one compact line with no filler and it lists exactly the relevant output domains. However, it reads as a fragment rather than a complete instruction, so it could be slightly clearer without adding length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

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, listing the returned data categories is nearly sufficient for correct invocation. It could be more explicit about the shape or grouping of the returned setup object, but nothing essential is missing for an agent deciding to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty with zero parameters, so there is nothing for the description to add about parameters. The baseline of 4 applies because parameter semantics are not applicable here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource: discovered Orca setup data including profile roots, application version, vendors, and selected presets. This makes the purpose reasonably clear and implicitly distinct from profile-specific siblings, although the description lacks a direct verb such as 'returns' or 'gets'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to call get_setup versus alternatives like list_profiles or get_profile. No conditions, prerequisites, or exclusions are mentioned, so the agent must infer usage from the tool name and the listed data fields.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Zmokizmoghi/orca-profiles-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server