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staffdill

observe-mcp

by staffdill

search_entity_logs

Search logs by a specific field value to correlate events to an entity like user ID or request ID.

Instructions

Search Observe logs filtered by a specific field value — useful for correlating logs to a particular entity such as a user ID, request ID, device ID, or any other identifier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows (default 100)
serviceNoOptional service name to narrow results
hours_agoNoHow many hours back to search (default 2)
field_nameYesField name to filter on, e.g. 'userId', 'requestId', 'deviceId'
field_valueYesValue to match against the field
dataset_pathNoObserve dataset path. Falls back to OBSERVE_DEFAULT_DATASET env var.
Behavior2/5

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

No annotations are provided, and the description lacks information on behavioral traits such as read-only nature, side effects, or performance implications. It only describes the basic search function.

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?

The description is a single focused sentence that front-loads the core purpose and provides concrete examples, achieving conciseness without waste.

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

Completeness2/5

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

Despite no output schema, the description offers no details about return format, pagination, or error behavior, leaving the agent without sufficient context for result handling.

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% with clear parameter descriptions. The description adds marginal value beyond the schema, primarily framing the use case for correlating entities.

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 Observe logs filtered by a specific field value, with explicit examples (user ID, request ID, device ID). This distinguishes it from sibling tools like search_service_logs which filter by service.

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?

The description implies usage when correlating logs to a specific entity but does not provide explicit when-to-use or when-not-to-use guidance, nor mention alternatives directly.

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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