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ruzora

Request a Vetted Engineer Shortlist

request_vetted_shortlist

Ask Ruzora for a shortlist of vetted senior engineers in Latin America for a role (ideally from a role scorecard). A vetted shortlist within 72 hours; profiles are blind until an agreement is signed. Needs a work email. Sends the name, email and company given to Ruzora.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYesRole title, e.g. "Senior backend engineer"
notesNoContext: what they will own, time-zone needs, the role scorecard summary
companyYesCompany name
timelineNoWhen they should start, e.g. "within a month"
engineersNoHow many engineers (default 1)
full_nameYesHiring manager full name
seniorityYesSeniority: mid (3-5 years), senior (5-8 years) or staff (8+ years, lead)
work_emailYesWork email (personal inboxes are refused). The shortlist goes here.
buyer_tokenNoProof the user verified this work email: the buyer_token from confirm_work_email (valid 7 days). No token yet? Call verify_work_email first.
required_skillsNoMust-have skills only (hard filter), e.g. ["Python", "Postgres"]
preferred_skillsNoNice-to-have skills (ranking only)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already flag readOnlyHint=false, idempotentHint=false, openWorldHint=true, so the agent knows this is a mutating, open-world call. The description adds meaningful context beyond that: a 72-hour turnaround promise, blind profiles until an agreement is signed, and an explicit data-disclosure note that the provided name/email/company are sent to Ruzora.

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

Conciseness4/5

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

Three compact sentences, front-loaded with the core action and scope, then turnaround/blind-profile terms, then the data-sharing disclosure. No filler, though the phrasing is slightly telegraphic ('Sends the name, email and company given to Ruzora').

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

Completeness4/5

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

For a mutation tool with no output schema, the description covers the key expectations an agent needs: fulfillment time, blind-profile condition, required contact channel, and data handling. It stops short of naming the sibling it replaces or the exact confirmation returned after submission.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every one of the 11 parameters is already documented in the schema, setting a baseline of 3. The description reinforces only the work-email requirement and the role-scorecard note, adding no syntax or format detail beyond what the schema provides.

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?

States a specific verb (request) and resource (shortlist of vetted senior engineers in Latin America), plus the qualifier that it should come from a role scorecard. This clearly distinguishes it from a generic get, but it never names or contrasts the closest sibling (search_vetted_engineers), so differentiation is by inference rather than explicit routing.

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

Usage Guidelines3/5

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

Gives implied usage context ('ideally from a role scorecard') and a prerequisite ('needs a work email'), but never states when to use this versus search_vetted_engineers or get_vetting_status. The agent must infer the selection condition from field descriptions rather than the description itself.

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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