list_sources
List approved data sources and their licenses.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
List approved data sources and their licenses.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
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, covering the safety profile. The description adds that results are limited to approved sources and include license information, which is useful domain context, but it says nothing about pagination, the limit parameter's effect, or result size.
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, well-formed sentence with the key scope (approved sources) and the returned attribute (licenses) front-loaded. No wasted words.
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?
This is a simple read-only list tool with rich annotations and no output schema, so the safety and return-shape burden is low. However, the limit parameter's semantics and any pagination behavior are missing, which matters for correct invocation even in a simple tool.
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 description coverage is 0%, so the single parameter (limit) has no meaning documented in the schema. The description does not mention limit at all, leaving the agent to infer its behavior from the raw schema constraints (default 50, max 100) alone.
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 states a specific verb ("List") and resource ("approved data sources") plus a qualifier ("their licenses"), so the agent knows exactly what the tool returns. It does not, however, distinguish itself from siblings like catalog or get_evidence, so sibling differentiation is left to inference.
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 when-to-use or when-not-to-use guidance, and no alternative tool is named. The purpose implies a listing scenario, but an agent must guess whether this is the right tool versus catalog or another sibling.
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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