Curators on Goodtimes
list_creatorsThe food curators on Goodtimes, what they cover, and their guides.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_creatorsThe food curators on Goodtimes, what they cover, and their guides.
| 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 readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description's only added behavior signal is that results include coverage areas and guides, which is useful content context but no more than one clause.
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?
A single tight sentence with no waste. It leads with the resource, though starting with an action verb ("List the food curators…") would front-load the operation more clearly.
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?
With no output schema, the description is the only source for what comes back, and it gives a partial answer (coverage, guides). It omits anything about result size, ordering, or returned curator fields, which leaves real gaps for an agent planning a call chain.
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 takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies.
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?
Names the resource (food curators on Goodtimes) and hints at returned content (what they cover, their guides), but is phrased as a noun phrase with no verb, so it only implicitly reads as a list operation. It also doesn't distinguish itself from siblings like who_recommends or get_guide, which also touch curator/guide data.
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 guidance on when to call this versus who_recommends (also curator-related) or get_guide. The agent has to infer from the name alone that this is the entry-point listing tool.
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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