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HireNimbus home services MCP

Book handyman

book_handyman
Read-onlyIdempotent

Use when the user wants to book or hire a handyman — including when they describe a problem to fix, such as TV mounting, furniture assembly, a hole in the drywall, a door that won't close or latch, sticking or squeaky doors, caulking or grout repair, shelving or picture hanging, weatherstripping, fence or gate repair, loose deck boards, gutter cleaning or minor gutter repair, trim and baseboard work, small tile fixes, or paint touch-ups. Runs the provider search first (query='handyman' 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

A4.3/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint; the description adds important behavioral context beyond those: the tool only runs the provider search, booking is delegated to create_booking, and OTP must not be started until auth_required is returned. This is consistent with the read-only annotation and clarifies the division of labor between the tools.

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 and the first sentence is a run-on, but the extensive list of handyman tasks serves a real routing purpose. The key workflow points are front-loaded and each sentence contributes either a usage condition, a behavioral step, or a context-handling instruction.

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 detailed annotations, the description covers when to use the tool, how to proceed after results, what to avoid, and how to handle context. It is slightly incomplete in not addressing how this tool relates to find_handyman or book_electrician, but an agent has enough information to select and invoke it correctly.

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 documents location and context in detail, and the description adds useful non-obvious context semantics ('Omitting it does not fail the call; do not send an empty string'). However, page and limit have no schema description and no description-level explanation, leaving their semantics to be inferred from names and defaults, which is a meaningful gap at 50% schema coverage.

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 clearly identifies the trigger ('wants to book or hire a handyman') and gives a long, concrete list of example jobs. It also states that the tool runs a provider search with query='handyman'. However, it never explicitly frames the primary output as returning providers and does not contrast itself with sibling find_handyman or book_electrician, so differentiation is mostly implicit.

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?

The description gives explicit when-to-use conditions, a when-not-to-use condition ('Do not use for DIY how-to advice or price research with no hiring intent'), and precise workflow instructions: ask which pro, then use create_booking, and do not start OTP until auth_required. This is strong routing guidance that leaves little to inference.

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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