Monthly Top 10
get_top10Get Returnolio's current monthly Top 10 list with a one-line thesis per pick. The response includes an app link to the full rationale for each pick. Read-only.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_top10Get Returnolio's current monthly Top 10 list with a one-line thesis per pick. The response includes an app link to the full rationale for each pick. Read-only.
| 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, so the closing 'Read-only' sentence is largely redundant. However, with no output schema the description earns credit for disclosing what the response contains: a one-line thesis per pick and an app link to the fuller rationale, which tells the agent how much depth to expect.
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?
Three short sentences, front-loaded with what the tool returns. The final 'Read-only' sentence repeats the readOnlyHint annotation and is the only wasted text; everything else earns its place.
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-only tool with no output schema, the description adequately covers what is returned and flags freshness ('current monthly'). The main omission is routing guidance against the nearby get_top10_track_record sibling, but nothing needed to invoke the tool correctly is missing.
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 no parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No schema-level semantics are needed or missing.
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 and resource ('Get Returnolio's current monthly Top 10 list') plus the payload shape ('one-line thesis per pick'), so an agent knows exactly what comes back. It does not explicitly distinguish itself from the sibling get_top10_track_record, though 'current' versus an implied historical track record does provide soft differentiation.
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 only implied: the agent can infer this is the tool for fetching the live monthly picks, but there is no explicit when-to-use statement, no exclusion, and no pointer to get_top10_track_record or get_app_link as alternatives. With zero parameters there is little to misuse, which keeps this at minimum-viable rather than low.
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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