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Quera bootcamps

qr_bootcamps
Read-onlyIdempotent

List Quera bootcamps open for registration with prices, dates, and seats, or fetch a bootcamp's weekly syllabus, prerequisites, instructors, installments, and FAQ by slug.

Instructions

List Quera's intensive paid bootcamps open for registration with price, dates and seats, or get one in full.

Without slug: cohorts you can register for now (include_closed adds past ones). With slug: syllabus by week, prerequisites, instructors, installments and FAQ. Prices are Toman.

Input Schema

NameRequiredDescriptionDefault
slugNoBootcamp slug from the list (e.g. 'devops'); omit to list bootcamps.
include_closedNoAlso list past or closed-registration cohorts (list only).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety bar is low; the description adds real context beyond them — default scope excludes closed cohorts, the slug mode returns materially richer data, and prices are denominated in Toman. It does not discuss pagination or result-size limits, which matters somewhat for an openWorld listing tool.

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 the resource and payload, then a compact mode-by-mode breakdown and a one-line currency note; almost no waste. Minor friction from 'or get one in full' appearing before the modes are explained, which forces a short backtrack.

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?

There is no output schema, so the description must carry the return-value burden — and it does, describing both the list payload and the full detail payload. Combined with annotations covering safety and idempotency, an agent has everything needed to choose a mode and call 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?

Schema coverage is 100%, so both parameters are already documented, making 3 the baseline. The description does add value by spelling out what the slug mode returns (syllabus, prerequisites, instructors, installments, FAQ) and by framing include_closed as 'adds past ones', but it adds little on slug format beyond the schema's example.

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?

States a specific verb and resource ('List Quera's intensive paid bootcamps') plus a second mode ('get one in full'), and enumerates the returned fields (price, dates, seats). An agent can distinguish the list form from the single-item form without opening the schema.

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?

Explicitly splits the two usage modes: 'Without slug: cohorts you can register for now' and 'With slug: syllabus by week...'. It also names the modifier that changes scope ('include_closed adds past ones'). It stops short of naming alternatives among siblings (e.g. qr_courses) for when a bootcamp is the wrong resource.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.