get_facility
Get one verified facility dossier including units, permits, quotes, source URLs, SHA-256 checksums and archived evidence links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Get one verified facility dossier including units, permits, quotes, source URLs, SHA-256 checksums and archived evidence links.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It mentions the return contents but not traits like read-only nature, error handling (e.g., missing slug), rate limits, or side effects. The verb 'Get' weakly implies safety, but insufficient detail.
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?
Single sentence, no redundancy, front-loaded with purpose and scope. Every word adds value.
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 get operation with one parameter and no output schema, the description covers what the tool returns. However, it lacks details on output structure, error scenarios, and prerequisites (e.g., knowing the slug). Adequate but not comprehensive.
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?
Schema has 1 parameter (slug) with 0% description coverage. The tool description does not explain the slug parameter's format, purpose, or example, relying solely on the schema's minimal definition. This fails to add 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 ('Get') and resource ('verified facility dossier') and lists specific included data types (units, permits, etc.), distinguishing it from siblings like get_announcements.
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 explicit guidance on when to use this tool versus alternatives. It implies use for retrieving a single facility's full dossier, but does not discuss exclusions, prerequisites, or when to use sibling tools like search_facilities.
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 has a clear, distinct purpose: one for third-party announcements, one for dataset metadata, one for detailed facility dossiers, and one for searching facilities. No overlap in functionality.
All tools use lowercase snake_case with a verb_noun pattern. Three start with 'get_' and one with 'search_', which is a minor deviation but still predictable and readable.
With 4 tools, the server is well-scoped for a focused data access purpose—neither too few nor too many.
The tool surface covers the core use cases for a read-only behind-the-meter power facility data server: announcements, dataset summary, single facility retrieval, and search. A tool to list all facilities without a query is missing but largely covered by search.