# Jagent

> Grade essays, check resumes, and ask typed yes/no, choice and rubric questions, powered by Jev.

- name: com.jev-agent/jagent
- version: 1.0.0
- connection class: R1 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 89/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/com.jev-agent%2Fjagent
- tools: https://api.protogrid.dev/v1/servers/com.jev-agent%2Fjagent/tools

**An agent can connect on its own if it already holds `JAGENT_TOKEN`.** Remote endpoint behind a static API key or header. The registry never sees the value; the agent fills the placeholder.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "jagent": {
      "type": "http",
      "url": "https://jev-agent.com/api/mcp",
      "headers": {
        "Authorization": "Bearer ${JAGENT_TOKEN}"
      }
    }
  }
}
```

Placeholders to fill: `${JAGENT_TOKEN}`.

## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-11d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 89/100 (good)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 86 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 7 of 7 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: check_resume (destructiveHint, idempotentHint); grade_essay (destructiveHint, idempotentHint); grade_with_rubric (destructiveHint, idempotentHint); …
- pass `tools.token_cost`: about 1,434 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 7, about 1,434 tokens to load them all
- tool set hash: 61b3613cb3238d83a576cbfd56de89d6
- badge: [![protogrid quality](https://protogrid.dev/badge/com.jev-agent/jagent.svg)](https://protogrid.dev/servers/com.jev-agent/jagent)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://jev-agent.com/api/mcp (streamable-http, auth api_key ${JAGENT_TOKEN}, reachable true, uptime30d 1)

## Packages

_none_

## Tools (7)

- `check_resume`: Score a resume, optionally against a job posting: a 0-100 match score, the posting's keywords found and missing (matched literally, as an ATS search would), ATS format checks, the level fit, and the probability a recruiter would move it to interview.
- `compare_versions`: Which of two versions is stronger for a stated purpose. Asked twice with the order swapped and averaged, because the model favors the second option on close calls; if the two orders disagree the result is a tie.
- `grade_essay`: Grade one essay against a built-in rubric. kind "essay": six criteria and a letter grade, for class essays at middle school, high school or college level. kind "common-app": a Common App personal statement (pass the prompt number, 1-7). kind "sat": an SAT School Day essay, Reading/Analysis/Writing each 1-4 (pass the source passage to check quotations).
- `grade_with_rubric`: Grade one or more submissions (up to 30, in parallel) against a rubric you supply: each criterion scored on a 3- to 6-point scale, summed per submission. Each submission is graded in its own call, so its score never depends on the others.
- `judge_choice`: Pick the option that best fits a text, with a probability for every option and a confidence. Options map an id to a description of when it applies.
- `judge_score`: Place a text on an ordered scale you define (lowest level first) and get the nearest level, the exact position and a probability for each level.
- `judge_yes_no`: Ask any yes/no question about a text and get the probability that the answer is yes. Use for checks and gates, e.g. 'Does this reply answer the customer's question?'.