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DJfindr

Start a chat with a DJ or a client

start_conversation

Start a chat with a DJ or a client. Needs inbox: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
withNoThe person (`usr_` id). Exactly one of with and with_dj.
with_djNoA DJ's `dj_` id or handle. Exactly one of with and with_dj.
proposal_idNoA booking (`prop_` id) between the two of us: its chat is answered (the pair's, when the DJ has not accepted it yet).
confirm_tokenNoLeave out on the first call. On the second call, the confirm_token the first call answered.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing a two-phase commit protocol: the first call is a strict no-op that validates arguments as the real change would, rejects unknown fields by name, and returns a summary plus confirm_token. It also states the human-consent gate, which annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=false) cannot convey.

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?

Front-loaded with purpose, then permission, then protocol, in roughly the order an agent needs them. Dense but readable; the fragment 'Two calls.' is a useful signpost rather than filler, though the final sentence packs several clauses together.

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?

With no output schema, the description correctly compensates by naming what the first call returns (a summary and a confirm_token). It covers auth and the confirmation loop; the main remaining gap is what happens if a chat with that person already exists, which matters given idempotentHint=false.

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 property descriptions already explain the exactly-one-of with/with_dj rule and the prop_ booking semantics. The description adds marginal meaning for confirm_token (pass the same arguments plus the token returned by call one) and for additionalProperties=false, but nothing beyond what the schema largely carries.

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 ('Start a chat') and names both counterparty types (a DJ or a client), which maps onto the with/with_dj split. It does not explicitly contrast with siblings like send_message or get_conversation, so an agent must infer that this creates rather than appends to a conversation.

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?

Gives a clear operational context: requires `inbox:write`, takes two calls, and the second call only happens after the person agrees to the shown summary. It does not spell out when to prefer this over send_message on an existing conversation, but the create-vs-read distinction is largely self-evident.

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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