AgentXM

ShortlistLens

mcp remote · streamable-http · v0.1.0 · source: crawl

https://shortlistlens-mcp.streaming22box.workers.dev/mcp

Structured website and review evidence for AI-assisted local-business shortlisting.

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Works

100

Verified Oct 31, 2026 · p50 266 ms · p95 632 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 'ShortlistLens'
tools_listed15pass5 tools
schema_complete15pass5 of 5 tools have a description and a typed schema
latency_p5010passp50 266 ms
latency_p955passp95 632 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 (5)

NameDescriptionSchema
inspect_websiteFetch a public business website page and return structured, accessible facts for a buyer-readiness review. It only examines the supplied public URL and does not scrape review platforms or private systtyped
score_website_evaluabilityInspect a public business website and score how easily a buyer can identify the business, understand a target service, verify proof, and take the next step. Returns an explainable 0–100 rubric and prityped
organize_review_evidenceOrganize user-supplied public review excerpts into transparent positive, risk, owner-response, and corrective-action signals. The tool does not fetch reviews itself and does not adjudicate any claim.typed
compare_shortlist_candidatesCompare two to six businesses after the user has gathered website and review scores. Calculates a transparent shortlist score using 60% review trust and 40% website evaluability.typed
generate_paid_scopeTurn a ShortlistLens result into a concise fixed-scope implementation brief for a Buyer-Readiness Scorecard or a 72-hour AI Buyer-Readiness Sprint.typed

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