get_entry
Return a single ranked entry from a Top 11 list by slug and rank (1-11).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| rank | Yes | ||
| slug | Yes |
Return a single ranked entry from a Top 11 list by slug and rank (1-11).
| Name | Required | Description | Default |
|---|---|---|---|
| rank | Yes | ||
| slug | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet it discloses nothing about error behavior for a nonexistent slug or out-of-range rank, whether the list must exist first, or the shape of the returned entry. Only the rank range is mentioned, and that is already in the 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?
One front-loaded sentence with zero filler; the resource, key, and value range all appear before any padding could.
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?
There is no output schema and no annotations, so the description is the only guidance an agent gets. For a simple two-parameter lookup it is close to sufficient, but it omits failure modes and return structure.
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 description must compensate. It clarifies that slug identifies the Top 11 list and rank selects an entry within it, which is more than the bare schema types, but it says nothing about slug format or whether rank is 1-based ordering semantics.
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?
Specific verb+resource: returns a single ranked entry from a Top 11 list, keyed by slug and rank. The 'single ... entry' phrasing implicitly separates it from the sibling get_list, though it never names that sibling explicitly.
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: you call this when you want one entry rather than the whole list. No when-not conditions, prerequisites, or named alternatives (get_list, list_rankings) are given despite several plausible siblings.
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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