get_ranking
Read current paid positions and prices for one active ranking. Data comes from the live database.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| limit | No |
Read current paid positions and prices for one active ranking. Data comes from the live database.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| limit | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context beyond annotations by stating data comes from the live database and that only active rankings are addressed, which implies freshness and a constraint on accepted slugs.
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?
The description is two short sentences with no filler. The first sentence front-loads the action and object, and the second adds a relevant data-freshness detail. Every word 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 simple read tool, the description covers the core return content (paid positions and prices), the single-ranking scope, and the live data source. It does not explain the limit parameter's effect or behavior for missing/inactive rankings, and there is no output schema, but the annotations sufficiently cover the safety aspects.
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 for parameter meaning. 'One active ranking' hints that slug identifies a single ranking, but the description never mentions the limit parameter or explains what it controls, leaving a required semantic gap for correct invocation.
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 uses a specific verb ('Read') and resource ('paid positions and prices for one active ranking'), making the tool's function immediately clear. The singular 'one active ranking' distinguishes it from broader search/listing tools like search_rankings, and 'paid positions and prices' separates it from sponsorship-focused siblings.
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?
The description implies when to use the tool: when you need current paid position and price data for a specific active ranking. However, it does not explicitly state when not to use it or point to an alternative like search_rankings for finding or listing rankings, leaving the routing partially to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.