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ctmx

openrouter-jev-mcp

by ctmx

jev_score

Score string, object, or list states against your ordered levels. Define criteria to classify or validate data with probabilistic results.

Instructions

Score string, object, or list state against ordered caller-defined levels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYes
levelsYes
questionYes
logging_exclusionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Score' and gives no indication of whether the operation is read-only, how levels are interpreted, what output format is returned, or whether any side effects occur. This is a significant gap for a tool with no annotation safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is compact and contains no filler, but this is under-specification rather than conciseness. It omits essential usage and behavioral information, so brevity is achieved at the expense of usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists, the description is too sparse to enable correct invocation. It does not explain how levels map to scores, what 'question' is for, or how this tool relates to sibling tools like jev_check or jev_classify. For a 4-parameter tool with zero schema descriptions, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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 'state' accepts string/object/list and 'levels' are ordered and caller-defined, but it leaves the required 'question' parameter and the optional 'logging_exclusions' entirely unexplained. Nearly half the parameters are undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Score') and identifies the input types (string, object, list) plus the scoring rubric (ordered caller-defined levels). This is clear, but it does not distinguish the tool from siblings like jev_evaluate, which could plausibly perform a similar action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool versus alternatives. It does not mention criteria, exclusions, or contexts where other sibling tools would be more appropriate, leaving the agent to rely on the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.