Scenario ranking
scenarioTools competing in one scenario, ranked by community sentiment, with compact strengths/weak spots here.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| limit | No | ||
| verbose | No |
scenarioTools competing in one scenario, ranked by community sentiment, with compact strengths/weak spots here.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| limit | No | ||
| verbose | No |
Changes observed during successful MCP inspections.
Input schema / properties / limit / descriptionRemoved value: -"number of results, default 5"Input schema / properties / slug / descriptionRemoved value: -"scenario slug from list_scenarios"Input schema / properties / verbose / descriptionRemoved value: -"returns long-form fields"Input schema / properties / limit / descriptionAdded value: +"number of results, default 5"Input schema / properties / slug / descriptionAdded value: +"scenario slug from list_scenarios"Input schema / properties / verbose / descriptionAdded value: +"returns long-form fields"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so safety and determinism are covered. The description adds the useful note that results include compact strengths/weak spots ranked by community sentiment, but says nothing about pagination, ordering details, or what happens with an unknown slug.
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 compact sentence with the resource front-loaded. It is efficient, though the dangling 'here' is slightly awkward 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?
With no output schema and 0% parameter coverage, the description carries the full burden but only partially describes the return content and explains none of the inputs. For a three-parameter tool it leaves too much for the agent to guess.
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% across three parameters, so the schema itself explains nothing. The description only implies that a scenario identifier is needed ('one scenario') and gives no meaning for limit or verbose, leaving the majority of parameters undocumented.
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 clear resource (tools competing in one scenario) and the ranking basis (community sentiment), which is more specific than the bare name 'scenario'. However, it never names or distinguishes itself from close siblings like list_scenarios or compare_tools, so an agent must infer the boundary.
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 statement of when to use this over list_scenarios, compare_tools, or recommend_tools, and no prerequisites for the required slug. The trailing phrase 'here' gives no routing guidance.
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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