Latest findings
latest_findingsLatest notable results detected in the Gecko Tests and price data (fixed rules, numbers and quotes from stored results).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
latest_findingsLatest notable results detected in the Gecko Tests and price data (fixed rules, numbers and quotes from stored results).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so safety is covered. The description adds genuinely new context by clarifying the output is derived from stored results via fixed rules rather than live computation, but it says nothing about ordering, freshness window, or result shape.
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 with no filler, and the core subject ('latest notable results') is front-loaded. The parenthetical about fixed rules is slightly cryptic but does carry meaning.
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 no parameter documentation, the description is the only source of truth, yet it never explains what a returned 'finding' contains or what 'notable' means. For a tool whose output is opaque, that is a substantial gap.
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% for the single 'limit' parameter, and the description never mentions it, its default of 5, or its 1-20 range. With one undocumented parameter the description had room to compensate and does not.
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 names a resource (latest notable results in Gecko Tests and price data) but supplies no clear verb and never defines what makes a result 'notable'. It gives domain context yet does not distinguish this tool from siblings such as get_scorecard or search, so an agent cannot confidently route to it.
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 call this tool, when not to, or which sibling to prefer (e.g. search vs get_scorecard). The agent is left to infer usage entirely from the name.
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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