list_places
Named places the fetchers read for, with their upstream ids (CO-OPS station, USGS gauge, eBird region) and tags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No |
Named places the fetchers read for, with their upstream ids (CO-OPS station, USGS gauge, eBird region) and tags.
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet it only discloses content (upstream id types, tags). It says nothing about read-only semantics, result size, pagination, sorting, or whether the fetcher relationship implies any auth or rate constraints.
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 fragment with no filler and the key content (upstream ids, tags) front-loaded. It is a noun phrase without a verb, but nothing is wasted.
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 simple one-param lister with no output schema, the description covers what the records contain, which is the main thing missing from structured fields. It still omits the filter semantics of 'tag' and any guidance on scope relative to the other list/search tools.
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 single optional 'tag' parameter has 0% schema description coverage, and the description only obliquely references 'tags' as a returned attribute rather than explaining that tag filters the list (exact match? multiple? case sensitivity?). The one parameter that most needs explanation is left ambiguous.
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 names the resource ('named places the fetchers read for') and what comes back with each (upstream ids and tags), so an agent knows what this tool yields. It does not, however, distinguish itself from sibling listers like list_layers, list_hubs, or search_sources, which leaves some selection ambiguity.
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 list_layers/list_hubs or search_sources, and no mention that the optional tag parameter can filter results. Usage is only inferable from the tool name.
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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