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honeycomb-mcp-server

honeycomb-mcp-server

by kajirita2002
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

honeycomb_triggers_list

Retrieve all triggers associated with a specific dataset using the dataset slug to streamline event management and monitoring processes.

Instructions

List all triggers for a dataset

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "datasetSlug": "<datasetSlug>"
    },
    "name": "honeycomb_triggers_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
datasetSlugYesDataset slug to list triggers for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'List all triggers' implies a read-only operation, but it doesn't disclose behavioral traits like pagination, rate limits, authentication requirements, error conditions, or what 'all' means in practice (e.g., whether it returns active/inactive triggers). For a tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that directly states the tool's purpose with zero waste. It's appropriately sized for a simple list operation and front-loaded with the core action. Every word earns its place.

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?

Given the tool's simplicity (1 parameter, 100% schema coverage) but lack of annotations and output schema, the description is incomplete. It doesn't explain what a 'trigger' is in Honeycomb context, what information is returned, or any behavioral aspects. For a tool in a complex observability system, more context would help the agent understand the output and usage.

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 description doesn't add any parameter semantics beyond what the input schema provides. The schema has 100% description coverage with a clear parameter definition for 'datasetSlug'. The description mentions 'for a dataset' which aligns with the parameter but doesn't explain format, constraints, or how to obtain dataset slugs. Baseline 3 is appropriate when schema does the heavy lifting.

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 action ('List all triggers') and resource ('for a dataset'), providing a specific verb+resource combination. It distinguishes itself from other trigger-related tools (trigger_create, trigger_get, trigger_update, trigger_delete) by focusing on listing. However, it doesn't explicitly differentiate from other list tools like boards_list or markers_list beyond the resource type.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to use honeycomb_triggers_list versus honeycomb_trigger_get (for a single trigger) or honeycomb_boards_list (which might include triggers). There are no prerequisites, exclusions, or context about dataset selection.

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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