organizations_list
Lists all organizations accessible via the meloQA API for project management and testing.
Instructions
List organizations
Tag: Organizations
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lists all organizations accessible via the meloQA API for project management and testing.
List organizations
Tag: Organizations
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only says 'List organizations'. It fails to disclose return format, authentication needs, or any side effects. For a read operation, this is borderline acceptable but lacks detail expected for transparency.
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 very short (two lines) but wastes space on a 'Tag: Organizations' line that adds no actionable information. It is concise but underspecified, missing opportunities to provide useful context without major expansion.
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?
Given zero parameters and no output schema, the description is minimally adequate for a list-all tool. However, it does not explain what 'organizations' means in this context or what the response contains, leaving 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 the input schema is empty with 100% coverage. The description adds no additional meaning beyond the schema, which is sufficient given the simplicity. Baseline of 3 applies per the rule.
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 verb ('List') and resource ('organizations'), making the core purpose unambiguous. It is distinguishable from sibling tools like organizations_get and organizations_update by name alone.
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 alternatives (e.g., organizations_get for a single organization). There is no mention of context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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