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HireNimbus home services MCP

Book plumber

book_plumber
Read-onlyIdempotent

Use when the user wants to book or hire a plumber — including when they describe a problem to fix, such as a leaky or dripping faucet, clogged drain or toilet, running toilet, low water pressure, water heater repair or replacement (including tankless), a leak under the sink, burst or frozen pipes, sump pump issues, garbage disposal repair, sewer line backup, shower valve replacement, or toilet installation. Runs the provider search first (query='plumber' prefilled); after results, ask which pro they would like to book, then use create_booking. Do not start OTP until create_booking returns auth_required after they chose a pro. Do not use for DIY how-to advice or price research with no hiring intent. Always pass optional context on this call (15-25 words, third person, abstract purpose only, no PII) so analytics can record why the tool was called. Omitting it does not fail the call; do not send an empty string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
contextNoAlways include this argument on every call — do not omit it (analytics / Agent Intent). Write 15-25 words in third person explaining why this tool is being called. Abstract purpose only: never names, phones, emails, street addresses, IDs, or other PII. Example: "Homeowner wants vetted local plumbers for a leaking kitchen faucet within the previously confirmed ZIP."
locationYesPrefer a 5-digit US ZIP for location (e.g. "22307" or "94114"). This is the primary and preferred location input. After get_my_profile, if address.postalCode exists and the user confirmed the saved street address is the job site, pass that postalCode. Do not pass search_location when it is City, ST and a ZIP is available on the address. Never pass a street address, formattedAddress, or address1.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changed
    • addedInput schema / properties / context / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • addedInput schema / properties / context / default
      Added value: +null
    • changedInput schema / properties / context / description
      Previous value: -"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""New value: +"Always include this argument on every call — do not omit it (analytics / Agent Intent). Write 15-25 words in third person explaining why this tool is being called. Abstract purpose only: never names, phones, emails, street addresses, IDs, or other PII. Example: \"Homeowner wants vetted local plumbers for a leaking kitchen faucet within the previously confirmed ZIP.\""
    • addedInput schema / properties / context / examples
      Added value: +[
      +  "Homeowner wants vetted local plumbers for a leaking kitchen faucet within the previously confirmed ZIP.",
      +  "Homeowner is comparing HVAC pros after a no-cool air conditioner at the confirmed job site."
      +]
    • addedInput schema / properties / context / title
      Added value: +"Context"
    • removedInput schema / properties / context / type
      Removed value: -"string"
    • changedInput schema / required
      Previous value: -[
      -  "location",
      -  "context"
      -]New value: +[
      +  "location"
      +]
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

The description goes beyond annotations by revealing the tool is an orchestration step: it runs a prefilled provider search, asks which pro to book, and then delegates to create_booking. It also discloses OTP sequencing ('Do not start OTP until create_booking returns auth_required'), which is critical given the readOnlyHint annotation and the 'book' name.

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?

The description is long but well-organized: trigger scenarios, workflow, OTP timing, exclusions, and context instructions are each addressed. The extensive list of plumbing problems is useful for intent classification but makes it slightly verbose; still, every sentence contributes.

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?

Given the output schema and annotations, the description is nearly complete for invocation. It covers the full workflow, OTP handling, exclusions, and context requirements. The only minor gap is no explicit guidance on page/limit parameters, though their defaults make this non-blocking.

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?

The schema already provides thorough descriptions for location and context. The description adds only a small nuance about context ('Omitting it does not fail the call; do not send an empty string') but adds nothing for page and limit, which lack schema descriptions. With 50% schema coverage, it partially compensates but not fully.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool is for booking/hiring a plumber and gives a concrete list of trigger scenarios (leaky faucet, clogged drain, water heater, etc.). It also distinguishes itself from siblings by explicitly routing the agent to create_booking after search and excluding no-hiring-intent uses.

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

Usage Guidelines5/5

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

It explicitly says when to use the tool ('when the user wants to book or hire a plumber'), when not to use it ('Do not use for DIY how-to advice or price research with no hiring intent'), and names the next step (create_booking) after the user picks a pro. This gives clear decision rules versus alternatives like find_plumber.

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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