get_marketing_neighborhoods
The 35 San Francisco, Oakland, and Berkeley neighborhoods.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The 35 San Francisco, Oakland, and Berkeley neighborhoods.
| 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?
No annotations are provided, so the description carries the full behavioral burden. It gives no read-only indication, no authentication or rate-limit context, no return format, and no side-effect information, leaving the tool's behavior opaque beyond its subject matter.
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 fragment with no wasted words and the resource is front-loaded. It is efficient, though its extreme brevity edges toward under-specification rather than rich conciseness.
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 annotations, no output schema, and an empty parameter schema, the description does not explain what the tool returns or when it should be called. It also fails to differentiate from sibling get_neighborhoods, so the agent lacks enough context to select it confidently.
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 input schema has zero parameters, and the rubric sets a baseline of 4 for 0-param tools. The description adds no parameter details, which is appropriate here since there are none to explain.
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 identifies the resource as 'The 35 San Francisco, Oakland, and Berkeley neighborhoods,' but it never states what the tool does with them (retrieve, list, summarize). It also does not distinguish this from the sibling get_neighborhoods, so the purpose is only vaguely conveyed.
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 use this tool versus alternatives such as get_neighborhoods or get_marketing_places. The agent must infer usage entirely from the tool name and terse content label.
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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