list_sources
List where the TMS clinic data comes from, with the license and refresh of each source.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List where the TMS clinic 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, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds value by disclosing what the result contains (per-source license and refresh cadence), which matters since there is no output schema.
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 with a clear verb and no filler; the returned fields are appended in one compact clause. Nothing to trim.
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 parameters, full annotation coverage and no output schema, the description gives enough to call correctly and anticipate the response shape. It stops short of describing ordering, count, or whether sources can be empty, which an agent might still want.
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 nothing to disambiguate and the baseline of 4 applies. The description correctly implies no filtering options exist.
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 resource (data sources / provenance) and names the per-source fields returned (license, refresh). The resource is clearly distinct from siblings like list_places or search_listings, though the description doesn't explicitly contrast with them.
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 when/when-not or alternatives are given; usage is only implied by 'where the TMS clinic data comes from', i.e. provenance/licensing lookups. For a zero-parameter list this is largely self-evident, but the agent must infer the trigger condition.
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.