List Ergora Specialists
ergora_list_specialistsList the 17 Ergora specialist verticals available and what each covers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
ergora_list_specialistsList the 17 Ergora specialist verticals available and what each covers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds the fact that there are exactly 17 verticals and that it returns coverage details, but it does not disclose output format or other behavioral aspects. Given the strong annotation coverage, this is sufficient.
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, concise sentence with no fluff. It front-loads the verb 'List' and immediately specifies the resource and scope.
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, no output schema, and rich annotations, this description is complete. It tells the agent exactly what the tool returns (the 17 verticals and what each covers), which is all that is needed to invoke it correctly.
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, so the description does not need to explain any. The baseline for 0 parameters is 4, and there is nothing to compensate for.
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 states a specific verb (List), a specific resource (the 17 Ergora specialist verticals), and what the tool does (covers what each covers). It clearly distinguishes this meta-listing tool from its siblings, which are the actual specialist tools.
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?
There is no explicit guidance on when to use this tool versus directly calling a specific specialist. The description is purely descriptive and does not mention alternatives, prerequisites, or exclusions, leaving the agent to infer usage from context.
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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