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hold_slot

Hold the slot of one bid from this session's round for ten minutes, before asking the person for their details. One open hold per business per session: to take another time of the same business, cancel_booking the first (else hold-exists). Answers the hold, the bid it was made from and, when the hub has a public origin, the customer's private booking link. A quote-only bid also answers offerUrl, the public page of that offer. Never call it to browse: a hold blocks a real slot and three per client per ten minutes is the budget. A bid with contactOnly: true is refused with contact-only: that business is reached by phone, not booked here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bidYesThe `id` of one bid from the latest round, or of one of its `slots`.
sessionYesThe session id the round was run in.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / bid / description
      Previous value: -"The `id` of one bid from the latest round."New value: +"The `id` of one bid from the latest round, or of one of its `slots`."
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it delivers: it discloses the ten-minute duration, the per-business and per-client limits, that a hold blocks a real slot, the error conditions `hold-exists` and `contact-only`, and the response fields including `link` and `offerUrl`.

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?

The description is dense but every sentence earns its place: purpose, constraint, alternative, response shape, refusal behavior, and usage warning. It is front-loaded with the core action and keeps critical caveats immediately after.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with no output schema and no annotations, the description covers the action, effects, limits, errors, response contents, and when not to call it. An agent has enough context to decide and invoke 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?

Schema description coverage is 100%, so the schema already documents both parameters. The description reinforces that `bid` comes from 'this session's round' but adds little beyond what the schema already states.

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 opens with a specific verb and resource: 'Hold the slot of one bid from this session's round for ten minutes.' It clearly distinguishes the action from related tools by referencing cancel_booking and explicitly saying 'Never call it to browse.'

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 guidance ('before asking the person for their details'), states the one-hold-per-business rule, names the alternative cancel_booking for taking another time, and warns against browsing. It also explains when contactOnly bids should not be used.

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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