list_sources
List where the opioid treatment provider data comes from, with the license and refresh of each source.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List where the opioid treatment provider data comes from, with the license and refresh of each source.
| 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 readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered structurally. The description adds that each returned source carries license and refresh fields, which is useful since there is no output schema, but it says nothing about ordering, count, or whether the list is static.
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 front-loaded sentence that identifies the resource first and the returned fields second, with zero filler. Nothing could be removed without losing information.
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 zero-parameter read tool with full annotation coverage, the description supplies the one thing structured data does not: what each record contains (license, refresh). Only minor gaps remain, such as ordering or whether sources are fixed, which an agent can discover on first call.
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 no parameter semantics to explain; baseline 4 applies. The description correctly implies no filtering options are available.
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?
States a specific verb ('List') and a specific resource (data provenance / 'where the opioid treatment provider data comes from'), plus the per-source payload (license and refresh). None of the siblings (get_listing, get_stats, list_categories, list_places, search_listings) could be confused with a source-attribution listing.
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?
Usage is implied rather than stated: the mention of license and refresh signals this is the tool for attribution/compliance questions, but there is no explicit 'use this when...' or exclusion against siblings. No alternatives are named, though the zero-parameter shape makes selection low-risk.
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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