get_list
Return the full structured ranking for one Top 11 list by slug, including all 11 entries with scores, verdicts, pros/cons, and pricing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | List slug, e.g. 'fractional-cfo'. |
Return the full structured ranking for one Top 11 list by slug, including all 11 entries with scores, verdicts, pros/cons, and pricing.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | List slug, e.g. 'fractional-cfo'. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It does disclose the return payload shape (11 entries with scores, verdicts, pros/cons, pricing), which is real value given there is no output schema, but it says nothing about auth, unknown-slug behavior, or error/failure modes.
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?
One sentence, front-loaded with the action and resource, and every clause (scope, identifier, payload contents) carries information an agent needs. No filler.
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 one-parameter read tool with no output schema, the description usefully summarizes the return shape, so the agent knows what it gets back. The only remaining gap is behavior on invalid or unknown slugs, which is minor here.
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 100% and the single 'slug' parameter is documented with a format example in the schema itself. The description only restates that the slug identifies the list, adding no new syntax or constraint information. Baseline 3 applies.
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 ('Return') and resource ('the full structured ranking for one Top 11 list by slug') and enumerates the payload contents. The scope word 'full...list' cleanly distinguishes it from single-entry siblings like get_entry.
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 by the scope: 'one list by slug' suggests use when you have a slug and need everything. There is no explicit when-to-use, no when-not-to, and no named alternative such as list_rankings for discovery or get_entry for a single item.
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.