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LexGO Jobs

Get LexGO event

get_event
Read-onlyIdempotent

Fetch one upcoming LexGO event by integer id, id-slug, url, or click_url. Give the candidate click_url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesInteger id, id-slug, or an allowlisted lexgo.be/lu event URL

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
urlNo
domainNo
titlesNo
companyNo
click_urlNo
languagesNo
summariesNo
event_ends_atNo
event_starts_atNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful context that only upcoming events are fetched and that the result is a single event. It does not describe auth requirements, error behavior, or response shape, but with annotations present, the added context is acceptable.

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 compact and front-loaded with the main action and resource. There is no fluff. The second sentence is short but cryptic, slightly reducing effectiveness; otherwise, it is well-structured.

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

Completeness3/5

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

For a simple single-fetch tool with strong annotations and an output schema, the description is mostly complete. However, it lacks explicit guidance on when to use this tool over list_events or search_jobs, and the 'candidate click_url' instruction is ambiguous. These gaps are not severe given the low complexity, but they are noticeable.

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 covers the id parameter with 100% description coverage, including integer id, id-slug, and allowlisted URL. The description adds 'click_url' as another identifier, which is useful, but the second sentence makes it unclear whether click_url is an input or an expected output. The additional value over the schema is marginal and somewhat ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches a single upcoming LexGO event, using a specific verb and resource. It also distinguishes itself from list_events by emphasizing 'one' event. The sentence 'Give the candidate click_url' introduces some ambiguity about whether click_url is an input key or an output field, preventing a 5.

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?

The description implies usage context: use this tool when you need one upcoming event and have an id, id-slug, url, or click_url. However, it does not explicitly mention alternatives like list_events or search_jobs, nor does it state when not to use it. Usage guidance is mostly implied rather than direct.

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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