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honeycomb-mcp-server

honeycomb-mcp-server

by kajirita2002
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

honeycomb_markers_list

Retrieve a list of markers for a specified dataset using the honeycomb-mcp-server. Input the dataset slug or 'all' to access markers across all datasets.

Instructions

List all markers 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_markers_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
datasetSlugYesDataset slug to list markers for, or 'all' for all datasets

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?

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, if it requires specific permissions, what format the list returns, or if there are pagination/rate limits. The description is too sparse for a tool that likely returns structured data.

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 extremely concise at just 6 words, front-loading the core purpose without any wasted words. Every element ('List', 'all markers', 'for a dataset') contributes directly to understanding the tool's function.

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?

For a list operation with no annotations and no output schema, the description is incomplete. It doesn't explain what markers are, what data they contain, how results are formatted, or if there are limitations. Given the context of sibling tools that manage markers, more guidance would be helpful for proper tool selection.

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 fully documents the single parameter 'datasetSlug'. The description adds no additional parameter context beyond implying it's for listing markers, which the schema's description already covers adequately. This meets the baseline for high schema coverage.

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 verb ('List') and resource ('all markers for a dataset'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'honeycomb_marker_get' (which retrieves a single marker) or 'honeycomb_marker_create' (which creates markers), missing an opportunity for clearer distinction.

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 that this is for listing multiple markers (vs. 'honeycomb_marker_get' for a single marker), nor does it provide context about prerequisites like authentication or dataset availability.

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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