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Moha: hire in the UAE

Check a prepared hire or account

check_prepared_hire
Read-onlyIdempotent

Whether the person opened the link from prepare_hire or prepare_account and created their account yet.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "draft_id": "<draft_id>"
    },
    "name": "check_prepared_hire"
  }
}

Input Schema

NameRequiredDescriptionDefault
draft_idYesThe draft_id that prepare_hire returned.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds real value by naming what is actually being tested (link opened and account created), which is more than the annotations say. However, with no output schema, it never discloses the shape or possible states of the response, leaving the agent unsure whether it gets a boolean, a status enum, or timestamps.

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?

One short sentence with no wasted words, and the key subject (link opened / account created) is front-loaded. It reads as a sentence fragment rather than a complete statement, which slightly blunts the opening, but nothing is padded or redundant.

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

Completeness3/5

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

For a simple one-parameter read tool with rich annotations, the description covers what is being checked but not what comes back. Since there is no output schema, the definition should at minimum sketch the possible outcomes (e.g., not opened, opened, account created) so the agent can interpret the result without guessing.

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 100% and the single parameter already documents that draft_id comes from prepare_hire. The description reinforces that provenance by naming prepare_hire and prepare_account, but adds no syntax, format, or reuse guidance beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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?

The description states a specific check on a specific resource: whether the recipient of a prepare_hire or prepare_account link has opened it and completed account creation. It implicitly distinguishes itself from the sibling prepare_* tools, which create the link rather than report on it. It is a noun clause rather than a verb phrase, so the action ('check'/'report status') is inferred from the name rather than stated.

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?

Usage is implied rather than stated: an agent can infer this is the follow-up call after prepare_hire or prepare_account returns a draft_id, since the description ties the two together. There is no explicit 'call this after X' instruction, no guidance on polling or when the result becomes meaningful, and no stated exclusions.

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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