list_counties
List the Texas counties Pointer covers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| state | No | TX |
List the Texas counties Pointer covers.
| Name | Required | Description | Default |
|---|---|---|---|
| state | No | TX |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It only says 'list' (implying a read operation) but does not disclose output format, pagination, authentication needs, or how the optional state parameter relates to the Texas scope. The mismatch between the explicit 'Texas' and the generic state parameter adds ambiguity.
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 clear sentence, front-loaded with the verb and resource. It has no fluff and is appropriately terse for a simple list tool, though it could be slightly more informative without losing 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?
There is no output schema and no annotations, so the description must explain what the tool returns and any behavioral constraints. It only states that Texas counties are listed, but does not describe the return structure, whether any counties are excluded, or how the state parameter is handled. This is insufficient for an agent to use 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 schema has one optional parameter (state, default 'TX') with 0% description coverage. The description does not explain the state parameter, its valid values, or its effect on results beyond repeating 'Texas' which mirrors the default. It adds no meaning beyond the schema.
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 clearly states the action (list), the resource (counties), and the scope (Texas). It distinguishes from list_datasets by specifically targeting counties, but does not explicitly differentiate from get_county_production or other siblings.
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 is provided on when to use this tool versus alternatives. The description is purely declarative with no mention of scenarios, exclusions, or relationships to sibling tools like get_county_production.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource/action: datasets (list/download), counties (list), production (get by county), operators (exact lookup vs search). While get_operator and search_operators both deal with operators, the former is for exact/fuzzy single lookup while the latter is ranked FTS, making them distinguishable.
Tools follow a consistent verb_noun pattern (download_, get_, list_, search_) with clear prefixes. Although get_ and list_ both indicate retrieval, they apply to different resources and the verbs match the operation type (specific retrieval vs enumeration).
Six tools is well-scoped for a domain-specific data server, covering datasets, counties, production, and operators without redundancy.
The surface covers dataset discovery/download, county listing, production retrieval, and operator lookup/search—comprehensive for a data access API. No obvious missing CRUD operations since this is a read-only data source.