fetch_api_root
Retrieve the API root endpoint to verify connectivity and discover available routes for Dispersl multi-agent orchestration.
Instructions
Fetch API root (utility endpoint)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the API root endpoint to verify connectivity and discover available routes for Dispersl multi-agent orchestration.
Fetch API root (utility endpoint)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.1Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It implies a read operation but does not disclose authentication needs, rate limits, idempotency, or what the root endpoint returns.
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 short phrase, front-loaded and free of filler. It is appropriately sized, though the parenthetical adds minimal value.
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 that there are no annotations, no output schema, and many sibling endpoints, the description does not explain what the API root returns or why an agent should call it. It is too sparse to be fully complete for selection.
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 zero parameters, and the schema description coverage is 100%. Per the rubric, a zero-parameter tool has a baseline of 4 because there is no parameter semantics to clarify.
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?
States a specific verb and resource: 'Fetch API root'. The parenthetical '(utility endpoint)' adds little distinguishing detail, and it does not differentiate this tool from siblings like health_check or get_usage_stats, so it falls short of a 5.
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 on when to use this tool versus alternatives. It does not mention health_check, get_usage_stats, or any context in which fetching the API root is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.