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LogsLoom

Ingest logs

logs_ingest

Send one or many log events to LogsLoom (POST /v1/logs). Provide a single event via level+message, or a batch in events (max 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoRequired unless `events` is set
eventsNoBatch of events; overrides single-event fields when set
messageNoRequired unless `events` is set
serviceNo
metadataNo
timestampNo
environmentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the POST endpoint (implying a write operation), the batch limit of 100, and the two modes. However, it doesn't disclose what happens on success/failure, whether the API is idempotent, or any rate limits. For a write tool with no annotations, this is adequate but not rich.

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 the core action and endpoint, then the key branching logic. Every word earns its place; no fluff or repetition of schema details.

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 tool with 7 parameters, no output schema, and no annotations, the description covers the essential decision (single vs batch) and the constraint (max 100). It doesn't explain return values or error behavior, but the core calling contract is clear enough for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 43%, so the description must compensate. It does: it explains the relationship between 'level'+'message' (single event) and 'events' (batch), and notes that 'events' overrides single-event fields. This adds meaning beyond the raw schema, though it doesn't detail every optional field like service, metadata, timestamp, or environment.

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 a specific verb ('Send'), a resource ('log events to LogsLoom'), and the exact endpoint (POST /v1/logs). It also distinguishes the two invocation modes (single event vs batch), which clearly separates it from sibling tools like logs_get and logs_search.

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 gives clear context for when to use this tool: to send one or many log events. It explains the single vs batch choice and the max batch size. It doesn't explicitly say when NOT to use it or name alternatives, but the sibling tools (get, search, projects_list) are obviously different operations, so the usage context is clear enough.

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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