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boondmanager-mcp-server

by silamir

Supprimer une absence

boond_absences_delete
Destructive

Permanently delete an absence request from BoondManager after verifying its ID. Use only when a hard delete is intended, not to deactivate or change status.

Instructions

Supprime définitivement un(e) demande d'absence de BoondManager.

Quand : uniquement sur demande explicite de l'utilisateur, et après avoir vérifié l'ID avec boond_absences_get. Plutôt que : boond_absences_update pour désactiver ou changer l'état d'un enregistrement sans le détruire — c'est presque toujours l'intention réelle.

  • boond_rights_get dit si l'utilisateur a ce droit sur l'enregistrement avant d'essayer (un 403 évité).

  • ⚠️ Irréversible, sans corbeille côté API.

  • Si le client MCP annonce la capacité elicitation, une confirmation est demandée à l'utilisateur final et un refus annule l'appel (structuredContent.deleted: false + reason) ; sinon la suppression part directement.

Returns : { id, deleted, reason? } — vérifier deleted, qui vaut false en cas de refus utilisateur.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesIdentifiant unique de l'entité BoondManager (numérique)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
reasonNoPrésent quand la suppression n'a pas eu lieu (ex: refus utilisateur)
deletedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.12.2
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed4 schema fields changedv2.7.0
    • changedInput schema / properties / id / description
      Previous value: -"Identifiant unique de l'entité BoondManager"New value: +"Identifiant unique de l'entité BoondManager (numérique)"
    • removedInput schema / properties / id / minLength
      Removed value: -1
    • addedInput schema / properties / id / pattern
      Added value: +"^\\d+$"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "deleted": {
      +      "type": "boolean"
      +    },
      +    "id": {
      +      "type": "string"
      +    },
      +    "reason": {
      +      "description": "Présent quand la suppression n'a pas eu lieu (ex: refus utilisateur)",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "id",
      +    "deleted"
      +  ],
      +  "type": "object"
      +}
  3. First observedv2.1.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already flag destructiveHint: true, but the description goes well beyond that: it warns the deletion is irreversible with no trash, explains the confirmation flow when the MCP client supports elicitation (and the alternative direct deletion otherwise), and specifies the return shape including deleted: false on refusal. It also mentions the rights-check to avoid 403s. This is rich, non-redundant behavioral context.

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?

The description is structured with clear sections (when, rather-than, safety, warning, return format) and uses bullet points. It is a bit long, but every sentence serves a purpose – no filler. Front-loaded with the core action, then conditions, then details. Efficient for a destructive tool with complex behavior.

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 delete tool with an output schema and destructive annotations, the description covers everything needed: the action, conditions, alternative, safety checks, irreversibility warning, confirmation behavior, and return contract. No significant gap remains for an agent to 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?

The schema already describes `id` with its numeric pattern, so baseline is 3. The description adds a usage prerequisite (verify the ID via boond_absences_get) but does not add new meaning about the parameter itself. That instruction is more about workflow than parameter semantics, so the score stays at the 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 opens with a precise action: 'Supprime définitivement un(e) demande d'absence' – a permanent delete. It clearly distinguishes from boond_absences_update, which is for deactivating or changing state without destruction. This leaves no ambiguity about what the tool does or how it differs from its most similar sibling.

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?

Explicit 'Quand' condition: only on explicit user request, and after verifying the ID with boond_absences_get. It also names the alternative (boond_absences_update) and states why that is usually the better choice. Additionally, it recommends checking boond_rights_get to avoid a 403. This is a model of usage guidance.

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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