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beel-es

BeeL MCP server

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by beel-es

beel_get_webhook_subscription

Read-onlyIdempotent

Retrieve a single webhook subscription using account and webhook IDs. Signing secret is never included, so you can inspect webhook details without exposing sensitive credentials.

Instructions

Returns a single webhook subscription. The signing secret is never included.

Endpoint: GET /v1/accounts/{account_id}/webhooks/{webhook_id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesYour own account, or an account you provisioned. It — not the credential, and not the `BeeL-Active-Company` header — decides which account the operation acts on. An account you do not reach answers `403`, and so does an account that does not exist, so the existence of somebody else's account is never disclosed.
webhook_idYesSubscription of the account in the path. A subscription of another account answers `404`, the same as one that does not exist: under the account resolved from `{account_id}` it simply is not there.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observedv0.3.1

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds meaningful context beyond annotations: the signing secret is never included, a critical security behavior, and it exposes the exact GET endpoint.

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?

Two short sentences with no fluff: the core behavior is front-loaded, and the endpoint line adds useful technical precision. Every word earns its place.

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?

For a simple idempotent GET with two well-documented parameters and full annotation coverage, the description is nearly complete. It captures the security-sensitive detail (no signing secret) and the endpoint; only an explicit pointer to the list sibling for unknown IDs would make it fully complete.

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%, and both parameter descriptions are unusually detailed about account resolution and 403/404 semantics. The description itself adds no new parameter-level meaning, so the baseline of 3 applies.

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 states 'Returns a single webhook subscription' with a specific verb and resource, and the endpoint clarifies it targets one subscription by ID. The singular 'single' distinguishes it from beel_list_webhook_subscriptions without ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is implied by the phrase 'single webhook subscription' and the endpoint's webhook_id path parameter, suggesting this is for id-based retrieval rather than listing. However, it does not explicitly name alternatives or state when not to use it, leaving some inference to the agent.

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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