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DJfindr

Request a DJ

request_booking

Request a DJ. Needs bookings:write. Two calls. The first changes nothing: it checks the arguments as the change would (a field this tool does not take is refused, by name) and answers a summary and a confirm_token. Show the summary to the person; only after they agree, call again with the same arguments plus confirm_token.

Input Schema

NameRequiredDescriptionDefault
djYesThe DJ's handle or `dj_` id.
latNoThe venue's latitude.
lngNoThe venue's longitude.
nameNoThe event's name.
noteNoA note to the DJ. It is screened when the request is sent, and may be refused.
extrasNoExtra slugs or ids I would like.
ends_atNoWhen the event ends (ISO 8601).
event_idNoOne of my events (`evt_` id) to ask for, instead of describing a new one.
occasionNoAn occasion slug or `opt_` id.
timezoneNoIANA time zone, such as America/Chicago.
starts_atNoWhen the event starts (ISO 8601).
confirm_tokenNoLeave out on the first call. On the second call, the confirm_token the first call answered.
location_addressNoThe venue's address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations only declare non-read-only, non-destructive, non-idempotent, open-world; the description adds real context beyond that: the required bookings:write scope, the fact that call one is a no-op dry run, that unknown fields are refused by name, and that a confirm_token is mandatory for the mutation. It does not describe the outcome of the second call (whether the request lands as pending, what identifier comes back), which is a notable gap for a mutation tool with no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, front-loaded with the action, then the auth requirement, then the two-call protocol. Nothing is padded and every clause carries information an agent needs before invoking.

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 13-parameter mutation with no output schema, the description covers the authorization requirement and the full confirmation protocol, which is the hardest part to get right. It leaves the second call's return value and the pending-vs-confirmed outcome unstated, and gives no sibling routing, so it is strong but not complete.

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 description coverage is 100%, so every one of the 13 parameters is already documented in the schema, including confirm_token's two-call semantics. The description reinforces how confirm_token pairs with the first call's response but adds no field-level meaning the schema does not already carry; baseline 3 applies.

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 opens with a specific verb+resource ('Request a DJ') and immediately characterizes it as a two-phase confirmation flow, which separates it from a plain create. It never names the near-siblings it must be distinguished from (book_dj, preview_booking_request, create_sourced_booking), so an agent still has to infer which of those overlapping tools to pick.

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

Usage Guidelines4/5

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

The when-to-use flow is unusually explicit: first call validates and returns a summary plus confirm_token, the human must agree, then a second call with the same arguments plus the token. What is missing is routing guidance against alternatives that appear to do similar things, so the agent knows this is the right tool versus preview_booking_request or book_dj.

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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