radar_karne
SkorMerkez Skor Tahmini'nin şeffaf karnesi: isabet oranı, Brier skoru, kalibrasyon. Bahis aracı değildir.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
SkorMerkez Skor Tahmini'nin şeffaf karnesi: isabet oranı, Brier skoru, kalibrasyon. Bahis aracı değildir.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full behavioral burden. It does disclose the nature of the output (accuracy, Brier, calibration) and a boundary (not a betting tool), but says nothing about freshness, whether metrics are global or time-scoped, permissions, or whether any parameters/filters are silently applied. Partial coverage for a zero-annotation tool.
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?
Two short sentences, zero filler, with the core payload (the three metrics) front-loaded before the boundary caveat. Nothing could be removed without losing information.
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, the description compensates by listing the returned metrics, which is the main thing an agent needs. Missing only secondary context such as metric scope or update cadence, which is minor for a no-param read tool.
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?
The tool takes no parameters, so there is nothing to document beyond the empty schema; the baseline for a zero-parameter tool is 4. The description correctly implies a parameterless, whole-model snapshot rather than a filtered query.
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 concrete resource — SkorMerkez Skor Tahmini's performance report card — and enumerates exactly what it contains (isabet oranı, Brier skoru, kalibrasyon). That is clearly distinct from the match/team-oriented siblings, though it uses a noun phrase rather than an explicit verb, so the 'what it does' is implied rather than stated.
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 one useful exclusion — 'Bahis aracı değildir' tells the agent not to use this for betting decisions — but no positive statement of when to reach for it (e.g. to audit model reliability before trusting predictions) and no alternative tool is named. Usage is only implied.
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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