AgentXM

Jagent

mcp remote · streamable-http · v1.0.0 · source: crawl

https://jev-agent.com/api/mcp

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

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Works

100

Verified Oct 31, 2026 · p50 319 ms · p95 413 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'jagent'
tools_listed15pass7 tools
schema_complete15pass7 of 7 tools have a description and a typed schema
latency_p5010passp50 319 ms
latency_p955passp95 413 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (7)

NameDescriptionSchema
check_resumeScore 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 ptyped
grade_essayGrade 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 stattyped
grade_with_rubricGrade 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 typed
judge_yes_noAsk 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?'.typed
judge_choicePick 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.typed
judge_scorePlace 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.typed
compare_versionsWhich 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 resultyped

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