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Set up the careers page

hiring_setup_careers
Idempotent

The careers page at cncto.co/j/ that lists the open jobs: its name, a short intro, the website, the address candidates' replies go to, and who hears about each application. Only what you pass changes. Costs $0.001 per call; nothing if it fails.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "hiring_setup_careers"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNo
introNo
websiteNo
reply_toNo
ai_noticeNoYour own words for that notice; "" for ours (a person decides, and how to ask a person to look again).
ai_reviewNoTell candidates on every application form that AI may help review applications, as the EU's AI Act asks. Required before screening with hiring_screen_queue.
notify_emailNo
application_limitNoAt most count applications from one person in days, across every role, like {"count": 2, "days": 180}; the form says so. null: no limit.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare mutation, idempotency and non-destructiveness, so the description's main contributions are the cost model ('$0.001 per call; nothing if it fails') and the partial-update semantics, both useful and not in structured data. It still omits permission requirements and the fact that ai_review gates hiring_screen_queue, which is the one behavioral prerequisite an agent most needs.

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?

Two sentences, front-loaded with the resource and URL, then the field inventory, then the two operational facts. The field enumeration is a little list-like, but every clause carries information the agent needs.

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 non-destructive, idempotent settings-update tool with no output schema, the description covers location, scope, update semantics, and cost — close to enough to call it safely. It falls short on the compliance-related prerequisite (ai_review before screening) and on the format/limits of the passed fields.

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 coverage is only 38%, so the description should compensate more than it does. It does add meaning for 'name' by tying it to the URL path cncto.co/j/<name>, but for the other seven parameters it merely repeats field names (intro, website, reply_to, notify_email) without formats, constraints, or the unwritten implications of application_limit and ai_review.

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 concrete verb and resource ('careers page at cncto.co/j/<name>') and enumerates the field groups the page holds, so the agent knows exactly what is being configured. It does not distinguish itself from the nearby sibling hiring_design_careers, which a reader could easily confuse with this one.

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?

'Only what you pass changes' tells the agent this is a partial-update call, which is real usage guidance. However, there is no statement of when to use this versus hiring_design_careers, no prerequisites (e.g. that ai_review must be set before screening), and no mention of who may call it.

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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