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Rechercher des evenements d'agents

obs_events_search

Search logged events by project, operation, type, status, model, time window, minimum duration, and free text. Returns most recent events first to investigate errors or latency spikes.

Instructions

Recherche les evenements journalises en combinant projet, operation, type, statut, modele, fenetre temporelle, duree minimale et texte libre. Renvoie les evenements les plus recents en premier, pour investiguer une erreur ou un pic de latence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoType d'operation.
nameNoNom exact de l'operation.
limitNoNombre maximum d'evenements retournes, 1 a 100.
modelNoModele utilise.
depuisNoDate ISO 8601 de debut de fenetre.
jusquaNoDate ISO 8601 de fin de fenetre.
statusNoStatut recherche.
projectNoNom du projet.
containsNoTexte recherche dans le nom, l'erreur ou les attributs.
min_duration_msNoDuree minimale en millisecondes.
response_formatNoFormat de sortie. 'markdown' pour lecture humaine, 'json' pour traitement programmatique.markdown
Behavior3/5

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

No annotations provided, so the description carries the full burden. It mentions sorting by most recent first but does not disclose other behaviors like pagination, rate limits, or destructive potential. For a search tool, basic behavior is covered.

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 sentences, front-loaded with purpose and filters, no wasted words. Efficient and clear.

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?

Adequate for a search tool with 11 parameters and no output schema, but could mention return format or pagination. The description provides enough context for basic use.

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%, so the schema already documents all parameters. The description adds no parameter-specific details beyond the schema, meeting the baseline for high coverage.

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 clearly states the tool searches logged events with multiple filters and returns recent ones first, for investigating errors or latency spikes. It distinguishes from sibling tools by specifying a broad search capability.

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?

Provides a clear use case (investigating errors/latency spikes) but does not explicitly mention when not to use it or list alternatives. However, the context and sibling names imply differentiation.

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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