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Book Job

book_job
Destructive

Book a service job. Texts the assigned tech like the office does. Logged and undoable.

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": {
      "problem": "<problem>"
    },
    "name": "book_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateNo
techNo
phoneNo
windowNo
addressNo
bill_toNo
problemYes
customer_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already flag a destructive, non-read-only, closed-world write. The description adds genuinely new behavior: it sends a text to the assigned tech, it is logged, and it is reversible, which meaningfully softens the destructiveHint by pointing at the undo path. It still omits what happens when tech/date are absent or what the response contains.

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 short, front-loaded sentences with no filler; the action comes first, then side effect, then durability. It is terse to the point of under-specification rather than verbose.

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 mutation with real-world side effects (texting a technician) and 8 undocumented parameters with no output schema, the description is thin on inputs and return behavior. It does cover the key behavioral facts an agent needs before committing, which keeps it at a minimum-viable level.

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

Parameters2/5

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

Schema description coverage is 0% across 8 parameters, so the description carries the full burden and largely fails. Only "tech" is indirectly explained (it is who gets texted); date, window, phone, address, bill_to, and customer_name are left with bare names, and the sole required field (problem) is never called out.

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 and resource ("Book a service job"), so an agent knows exactly what action is performed. It does not distinguish itself from siblings like update_job or list_jobs, so the agent must infer that this is the create path.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no prerequisites, and no mention of when to prefer update_job over booking a new job. Usage is only implied by the verb "Book".

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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