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Tolk2Go Interpreter Booking

List situations

tolk2go_interpreting_list_situations
Read-onlyIdempotent

No key needed. List the situations (such as medical, legal, business or CBR exams) with the situation_id that availability search and create_booking need. Pick the one that matches the assignment. Situations with booking_flow catalog (such as CBR) book an item from tolk2go_interpreting_list_catalog.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "tolk2go_interpreting_list_situations"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoLocale for names, e.g. nl, en, de or fr (default nl)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/closed-world, so the bar is lower; the description adds real value by stating 'No key needed' (no auth prerequisite) and by disclosing that the payload carries situation_id values other tools depend on. It does not describe result size or ordering, which is a minor gap for a small lookup list.

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?

Three short sentences, front-loaded with the auth hint and then the purpose, with zero filler. Leading with 'No key needed' is slightly odd ordering but costs nothing.

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 one-parameter read-only lookup with no output schema, the description supplies the return field, the reason it matters downstream, and the branch to the alternative tool. Nothing an agent needs to call it correctly or chain it is missing.

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?

Only one parameter exists and the schema documents it at 100% coverage, including locale examples and the default. The description adds nothing about the lang parameter, so this sits at the schema-covered baseline.

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 gives a specific verb and resource ('List the situations') and concretely names examples (medical, legal, business, CBR exams) plus the key field returned (situation_id). It also distinguishes itself from the catalog sibling by noting that situations with a booking_flow catalog use tolk2go_interpreting_list_catalog instead.

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?

It states the selection rule clearly ('Pick the one that matches the assignment') and names the downstream consumers (availability search and create_booking), plus the branch condition that routes to list_catalog. There is no explicit when-not to call it, but the context is unambiguous.

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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